Analisa Statistik Jobs

I have hard signs that my ex-wife has penetrated my Experian account and leaked my personal identification details online. The login screen now shows her e-mail address and phone number on my profile and I’m receiving suspicious activity alerts tied to that account. I’ve already spoken with Experian support and pulled every credit report I can, yet I still lack conclusive, court-ready evidence of how the breach occurred, where my data travelled, and whether she profited from it. At the same time, I need to uncover any income or assets she may be hiding. I’m looking for a digital-forensics professional who can take the investigation further—collect and preserve logs, correlate IP addresses and devices, scan open-web and dark-web spaces for leaked PII, and trace undi...

We are looking for a skilled professional with strong experience in healthcare data systems and data modeling concepts. The ideal candidate should have hands-on experience working with Electronic Health Records (EHR) data and a good understanding of clinical and Revenue Cycle Management (RCM) domains within hospital systems. Key Responsibilities •⁠ ⁠Work with healthcare data from leading EHR platforms such as EPIC, Oracle Cerner, MEDITECH, or other top-tier EHR systems. •⁠ ⁠Understand and model clinical and RCM entities, including relationships within hospital and healthcare ecosystems. •⁠ ⁠Apply Kimball modeling techniques and core data modeling concepts for analytics and reporting solutions. •⁠ ⁠Support data integration, transformation, and structuring for health...

We are looking for an experienced researcher or data analyst with strong knowledge of Confirmatory Factor Analysis (CFA) to assist with an academic thesis task. The project relates to the following Topic: What are the key influencing mechanisms of South African women's self-undermining and labyrinthine paths to attaining their first promotion? Scope of Work: Perform Confirmatory Factor Analysis (CFA) on the provided dataset. The data is already cleaned and Exploratory Factor Analysis (EFA) has been completed in SPSS. Your task is to test the measurement instrument items, identify low-loading items, eliminate them, and retain the high-loading items. Develop the Results and Discussion section (approx. 2000 words) based on the CFA findings. Follow the format and guidance from a jo...

I need a reliable, easy-to-update forecast for medication supplies that tells me two things at a glance: how much stock I will need and when each batch will expire. I already have partial historical demand figures that you can build on; what I lack is a clean, formula-driven model that projects future requirements with confidence. Please use Excel or Google Sheets—whichever you feel gives the clearest, most maintainable formulas. The sheet should automatically pull forward the remaining stock, apply average or weighted consumption rates from my partial data, flag upcoming expiries, and highlight any shortfalls before they happen. If there’s a smarter way to visualise this, feel free to include a dashboard, but the core deliverable is the working set of formulas. Acceptance cr...

For an article, need ideas for citizen participation and also ideas on something that can get people to connect with music river rejuvenation. Like how people gave some material for ram janmabhumi, because they felt connected, how can we make people feel connected to this. Looking for new age + old school ideas, open to all.

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

I need my current river model in HEC-RAS refined so it reliably supports flood management decisions. All geometric files, cross-sections, hydrologic boundary conditions, survey points, and historical high-water marks are already organised and ready for import, so you will be working with a complete and detailed data set rather than starting from scratch. The assignment is to adjust roughness coefficients, bank stations, ineffective flow areas, and any other relevant parameters until the simulated water-surface elevations match observed events within an acceptable tolerance. Once the model is behaving consistently across a range of flows, generate clear channel and floodplain delineations that I can overlay in GIS for downstream engineering and permitting work. Flood maps or velocity grids...

sixteen 1、 Title: Research on Partial Discharge Fault Diagnosis Method for Power Substation Based on Combinatorial Logic and Deep Belief Network 2、 Journal Division: SCI Zone 4 I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the font and size match the text. (3) Formula number: All formulas must be number...

I have an intermediate-level assignment that must be completed in Excel with the @Risk add-in, and I want to finish it myself while being coached in real time. My main sticking points are building the simulations correctly and interpreting the risk analysis output that follows, so I’ll need you to explain each step, verify my formulas, and help me understand the Monte Carlo results rather than simply doing the work for me. Speed is important—I’m ready to start as soon as you are and would like to wrap this up quickly. Because this is a walkthrough, live collaboration (screen-share or similar) is essential. I’m comfortable scheduling multiple short sessions if that’s easier, but I’d like clear milestones so I always know what comes next and can practise ...

I'm looking for an expert to analyze risks using @RISK an excel addon. Key Requirements: - Proficiency in @RISK - Experience with risk analysis using @Risk - Ability to interpret and analyze complex data sets would like to jump on a call with and take me through the whole process rather than just doing it from their end.

Necesito apoyo integral para desarrollar una investigación académica centrada en el área de Ciencias de la Salud. Busco a alguien que domine la búsqueda y evaluación de literatura científica, el planteamiento de objetivos y preguntas de investigación claras, así como el diseño metodológico apropiado (cualitativo, cuantitativo o mixto según se justifique). Entregables principales: • Revisión bibliográfica actualizada con fuentes indexadas • Marco teórico y justificación del estudio • Propuesta metodológica detallada (métodos, instrumentos, plan de muestreo) • Cronograma de actividades y referencias en formato APA Valoro la redacción acad&e...

Assalamu alaikum! Are you looking to better understand financial markets without the hype or false promises? I'm here to provide clear, detailed, and educational analysis based on years of studying and mastering technical, fundamental, and psychological aspects of trading. The market is psychological warfare – a constant battle of emotions where fear, greed, FOMO, and manipulation by large players drive price action more than pure logic. Most losses come not from bad charts, but from failing to win the inner war against your own mind and the crowd's psychology. I help you navigate this battlefield with discipline and insight. What I offer: Technical Analysis: Chart markups, key patterns (head & shoulders, flags, triangles, double tops/bottoms), support/resistance leve...

Project requirements 1) Submission package Report files Part 1 report: maximum 2 pages Part 2 report: maximum 6 pages Page limits include figures and tables Page limits exclude title page, table of contents, and references The report must include explanations suitable for readers not familiar with programming Report must be submitted as PDF (or other allowed document format as specified by your portal) Code files (reproducible) Python code must be provided as Jupyter notebook(s) (.ipynb) R code must be provided as RMarkdown (.Rmd) if required by the brief Code must be runnable by someone else to reproduce your results If you reuse outputs or cleaned data from earlier questions, you must reference them clearly Submission location All relevant files must be submitted to the des...

I have a collection of datasets that need to be explored from every angle. First, I want a clear descriptive snapshot that tells me what is happening in the data right now. From there, I need predictive models that forecast future trends, and finally prescriptive recommendations that translate those forecasts into concrete, data-driven actions. You are free to move between Excel pivot tables, Python (preferably pandas, scikit-learn, and matplotlib or seaborn), and R (tidyverse, ggplot2, caret) as each step requires. The end goal is a versatile analysis that can power business decisions, support an academic write-up, and improve day-to-day operational efficiency. Please include: • Cleaned and well-documented datasets • Reproducible Excel workbooks, Python scripts or notebo...

Basically there are two task in this project. 1: I have a research paper written with the help of AI, and it needs to be re-written in human style patter so that it bypass the AI detection. 2: In the research paper, there is a section of analysis of a dataset using R. That analysis also needs to be done and three hypothesis needs to be tested with results written without AI language detection. I have a numerical dataset ready for a full hypothesis-testing workflow in R. The job covers three specific tests—t-tests, Chi-square tests and ANOVA—applied where each is statistically appropriate. I will supply the cleaned data and any relevant codebook; you return a well-commented R script (base R or tidyverse is fine) that reproduces every step, plus a concise write-up that reads lik...

My master’s dissertation in accounting and finance needs to move from a rough concept to a polished, submission-ready document, and I’d like one knowledgeable partner to guide me through every stage. The focus will be Corporate Finance; the exact research question is still only a general idea, so we will first refine and clearly articulate it together. From there, I’ll rely on you for an end-to-end workflow—comprehensive literature review, sound methodological design, data collection advice, quantitative analysis (Excel, Stata or similar), interpretation of the findings, and finally fluent academic writing with accurate referencing and critical editing. I’ll stay involved in each step but expect you to keep momentum, flag data requirements early, and make sur...

I’m looking for a seasoned researcher

I need a Power BI dashboard for leadership review. The primary focus is to visualize the organization chart. Requirements: - Connect to Excel spreadsheets - Create a comprehensive organization chart Ideal Skills: - Proficiency in Power BI - Experience with Excel data integration - Strong data visualization skills

Project Title: Deep Learning Project for Chest X-ray Diagnosis (Edge & Multi-Modal ) Description: I need help implementing a research project on chest X-ray disease detection using deep learning. The project should include: Dataset preprocessing (MIMIC-CXR / CheXpert) CNN baseline model (ResNet) Lightweight model (MobileNetV3 or similar) Multi-modal input (X-ray images + patient metadata) Basic edge optimization (model size, inference speed) Continual / adaptive learning simulation Evaluation metrics (Accuracy, AUC, F1-score, Precision, Recall) Result tables and graphs for research

I am looking for a professional academic writer to help me complete a comprehensive university report on Location Intelligence (LI). The report should be between 1,500 and 2,500 words and must maintain a high academic standard. The report needs to cover the following key areas: Conceptual Framework: A clear explanation and comparison between Spatial Analysis and Location Intelligence, highlighting how LI integrates business data with geographic context. Case Study: A detailed analysis focused on Urban Planning. This should demonstrate how location intelligence is used to solve modern urban challenges (e.g., resource allocation, infrastructure development, or smart city initiatives). Spatial Techniques: In-depth discussion of specific techniques, including Spatial Autocorrelation and He...

Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You'll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will be awarded the contest — payment is issued as a contest award directly through Freelancer. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for AI-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so ...

I am looking for an experienced freelancer with knowledge in: Power systems Transformer fault analysis Machine learning / AI MATLAB or PowerWorld simulation The goal is academic guidance and technical support for my research work. Current Stage of Research I have already prepared: Thesis proposal Initial literature review Research scope and methodology For the next supervisor meeting, I need help refining the following research components. Tasks Required 1. Updated Literature Review Assist in expanding the literature review using recent research papers (last 3–5 years) related to: Transformer fault detection AI-based predictive maintenance Machine learning for power system asset management Sources may include: IEEE Elsevier Google Scholar Springer 2. Dataset Collection Help identify ...

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

Title: I will build a customer churn prediction model using Python Description / Project Brief: Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical variables. Prepare the dataset for model training. Exploratory Data Analysis (EDA): Analyze trends and patterns in the dataset. Create visualizations to show factors affecting churn. Machine Learning Model Development: Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn. Evaluate the model using metrics like accuracy, precision, recall, and F1-score. Report & Recommendations: Provide a brief report summ...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I am preparing a full systematic review that maps all available evidence on intra-renal pressure in endourology. The manuscript must cover three key angles—how pressure is measured during endoscopic procedures, the clinical outcomes linked to different pressure levels, and the complications that arise (along with their management). To give the paper real depth, I want every relevant research design represented: clinical trials, observational studies, and case reports. The core of the work is a rigorous, reproducible search across the major medical databases (MEDLINE, Embase, Cochrane, Scopus) plus grey-literature checks. Peer-reviewed journal articles are my primary focus, but I am open to conference abstracts or book chapters whenever they fill a gap in the data landscape. After th...

I’m a consultant working with schools and childcare centers on their Child Nutrition Programs (CACFP and NSLP). I’m seeking an experienced professional to provide on-demand support with various tasks, including: * Reviewing and refining breakfast, lunch, snack, and supper menus that meet CACFP and NSLP guidelines — while still appealing to children. * Verifying menu compliance with meal pattern standards and ensuring accurate nutrition analysis. * Collecting and reviewing supporting documentation (nutrition fact labels, product formulation statements, standardized recipes) to confirm proper quantities and compliance. * Preparing and reviewing production records to accurately document portions, yields, and leftovers. * Checking daily meal counts, consolidating tallies, an...

I'm looking for a skilled data analyst, preferably with experience in the education sector, to assist in calculating long-term s projections (5+ years). This will take not more than two hours. Key tasks include: - Analyzing current numbers, historical enrollment trends, and demographic data. - Utilizing Excel for projections with specific formulas: - Linear regression - Moving averages - Growth rate calculations Ideal skills and experience: - Expertise in Excel, particularly with complex formulas and data analysis tools. - Background in education data analysis or related fields. - Strong analytical skills and attention to detail. Your insights will help us make informed decisions for the future.

I am coordinating a large-scale healthcare randomised controlled trial and, now that we are midway through data collection, I need an experienced biostatistics partner who can carry the project through to publication and simultaneously prepare a systematic review on the same topic. For the RCT you will take over live clinical-trial data streams, refine the data collection and management workflow, perform all required statistical analyses, then translate the findings into a clear manuscript-ready report and slide deck. Because the trial is already registered and governed by strict SOPs and GDPR, familiarity with GCP, REDCap (or similar), and reproducible R scripts/SAS code is essential. Alongside the trial work I also need a full systematic review following PRISMA guidelines. You will han...

I have a set of time-stamped observations and I need a robust machine-learning solution that can forecast future values with solid accuracy. The end goal is an automated prediction/forecasting model that I can retrain as new data arrives and easily integrate into a larger Python pipeline. Here’s what I need from you: • Exploratory analysis of the raw time-series data, spotting seasonality, trends, and anomalies. • Thoughtful feature engineering (lags, rolling stats, calendar effects, exogenous variables if useful). • Model selection and training – I’m open to traditional approaches such as ARIMA/Prophet as well as more advanced architectures like Gradient Boosting or LSTM; choose what performs best and explain why. • Rigorous evaluation on a ho...

I have twenty interview transcripts to be analysed in NVivo 15 for the qualitative analysis chapter of my PHD thesis which is based on sequential mixed methods. My goal is a thorough thematic analysis aimed specifically at understanding the findings that emerge across participants’ accounts. I have not set up any codes or a framework yet, so I need you to develop an inductive codebook, apply it consistently to all transcripts, and surface the key relational themes that matter. You will work need to have access and work directly in NVivo 15, delivering the fully coded project file along with a concise codebook that explains each theme and its criteria. A short analytic memo that synthesises how these themes connect and what they reveal about relationships in the data will complete th...

I’m running several data-science driven market research projects and need a sharp management trainee who can keep the wheels turning while digging deep into consumer behaviour. Your main focus will be consumer research—specifically behavioural patterns—so expect to be involved in everything from shaping survey instruments and sourcing secondary data to translating raw numbers into clear, decision-ready narratives for stakeholders. Day-to-day you’ll help me: • Coordinate timelines, milestones, and cross-functional touch-points so each study stays on track. • Collect and clean behavioural data, whether it comes from surveys, web analytics, or CRM exports. • Perform exploratory analysis in Excel, Python, R or any tool you prefer, then visualise ke...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

I’m finalising an academic paper and need a short-list of fresh, publishable ideas in Artificial Intelligence, Machine Learning or Deep Learning. The goal is to walk away with several concrete topics—each practical enough for a semester-length implementation in Python yet still offering a genuine research gap I can highlight as my own contribution. Here’s what I expect to receive: • 3–5 clearly worded research topics, phrased as potential paper titles. • For every topic, a crisp explanation of what makes it novel in light of recent literature. Cite the gap or twist that turns it from a replication study into new work. • A brief outline of the methodology: suggested datasets, baseline models (e.g., CNNs, Transformers, LSTMs, or classic scikit-lea...

I have designed a Qualtrics survey for math educators in support of a PhD student's dissertation, and I'd like an experienced Qualtrics specialist to walk through it with us and point out any blind spots. I serve in an administrative support capacity for the student, and both the student and I will be present in all sessions. Please note that an NDA will be required prior to engagement to protect the confidentiality of the research. The survey is an IRB-approved, confidential instrument targeting secondary math teachers in Washington State. It consists of approximately 57 questions organized across 14 thematic blocks, including a consent screen with skip logic, Likert-scale agreement items, multi-select tool inventories, matrix/grid rating questions, demographic items, and open-e...

I’m preparing a 10-minute assessed presentation on a single UN Sustainable Development Goal—either Good Health & Well-Being (SDG 3) or Quality Education (SDG 4)—and I need a polished set of PowerPoint slides that hit every point on my marking rubric. The content has to be academically solid and properly referenced in Harvard style. Please weave in: • the current challenges the world faces in this area, • at least one convincing case study that shows tangible success, • the future targets set by the UN, and • a fresh, “think-outside-the-box” angle that keeps the audience engaged. I’ll supply the rubric as soon as we start so you can align slide structure, depth of analysis and visual flair to each criterion. Charts, i...

I have a five-question risk-management assignment that must be solved entirely in Python and documented in a Word file. Each question asks me to pull real-world financial data from Google Finance, process it with well-commented code, and interpret the results in a risk-management context. Here is what I need from you: • Write clean, reproducible Python scripts for every question, making sure the data is fetched directly from Google Finance each time the code is run. • Embed concise explanations, assumptions, and any formulas alongside the code (either as inline comments or markdown cells if you prefer to work in a notebook before exporting). • Transfer the final answers, charts, and code snippets into a neatly formatted Word document so the assignment is submission-rea...

I'm seeking an experienced writer to help with my PhD thesis in bioinformatics. Requirements: - Complete the Introduction, Literature Review, and Discussion sections - Follow APA style and formatting - Work from my existing workflow (I have to papers) - Incorporate a mix of my specific sources and research papers, along with finding additional relevant sources Ideal Skills & Experience: - Expertise in bioinformatics and academic writing - Strong research skills and familiarity with APA guidelines - Prior experience with PhD-level thesis writing Looking forward to your bids!

I’m looking for a logistics supply-chain professional who can concentrate on our inventory management and, more specifically, on supply-chain optimization through better demand forecasting. Here’s what I need: • Diagnose our current forecasting process, data flows, and key pain points. • Build or refine a practical demand-forecasting model that aligns with our sales cycles, seasonality, and SKU mix (Excel, Power BI, or another suitable tool—your call as long as it’s maintainable). • Translate the model into clear reorder points and safety-stock guidelines that the warehouse team can follow without guesswork. • Recommend quick-win process changes that will shorten planning cycles and flag stock-out risk earlier. • Draft a concise SOP...

I have a set of raw sales data that I need turned into clear, actionable insights. The files are ready for you to dive in, and I’m looking for someone who can clean, explore, and analyze the numbers, then present the key findings in a way that guides smarter decisions. Please outline how you would approach the analysis—methods, preferred tools (Python / R, Excel, Tableau, Power BI, etc.), and what kinds of visualizations or reports you typically deliver. If you see opportunities for deeper trend identification or forecasting, feel free to suggest them; I welcome recommendations that add value. At the end, I’ll need: • A concise report summarizing your findings and recommendations • Supporting dashboards or charts that make the results easy to grasp •...

Headline: Driving Decisions with Data: The BMW Sales Analytics Dashboard Luxury brands don't just sell products; they sell experiences. But behind every premium experience is a massive engine of data. I’ve built a comprehensive BMW Sales Dashboard in Power BI to analyze how one of the world’s most iconic automotive brands performs across different markets. This project isn't just about the "Ultimate Driving Machine"—it’s about the Ultimate Data Insights. Key Insights Captured: Model Performance: Identifying which series (3 Series, X5, i7) is leading the revenue charts. Regional Deep-Dive: Mapping sales distribution across global territories to spot emerging markets. Engine Type Trends: Analyzing the shift from traditional Internal Combustio...

I’m expanding an R-and-D heavy product team and need an experienced technical recruiter who can bring in senior-level AI/ML engineers that can hit the ground running. The role goes far beyond résumé collection; I expect you to map the talent market, approach passive candidates, and put each engineer through a rigorous, engineering-grade screening process that proves they can architect, build, and ship production-ready models. You’ll have direct access to our hiring manager for calibration, but I’ll rely on you to: • Draft or refine the job brief so it resonates with seasoned machine-learning specialists. • Identify talent across LinkedIn Recruiter, GitHub, Kaggle, and relevant Slack/Discord communities, then run personalised outreach campaigns....

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I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...

I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

I’m looking for a mathematician who can tackle a range of analytical problems I’ve gathered for personal development. The questions span algebra, optimisation, and a few data-driven scenarios where results should inform sensible, real-world decisions, so the work isn’t just about getting the right numeric answer—it’s also about explaining the reasoning that leads there. Because this is purely for my own learning, there’s no hard deadline; quality of insight matters far more than speed. I’d like step-by-step solutions written clearly enough that I can follow the logic, with any supporting spreadsheets or code (Python, R, or even Excel) included if you use them during your analysis. Collaboration is welcome—I’m happy to discuss alternati...

I have a spreadsheet that tracks container-throughput from the Port to the ICD over time. I need a clean, reader-friendly report that tells the whole story hidden in those numbers. Scope of work First, lay out a solid descriptive analysis that covers total throughput and the day-to-day movement patterns. Next, build a predictive model so I can see how volumes may evolve in the near future. Finally, compare key periods and parameters to uncover how performance differs across time frames or operational variables. The descriptive section must highlight: • Total throughput • Daily trends • Trends specifically linked to Containers Received and any relationships you uncover between variables Deliverables • A written report (Word or PDF) summarising findings from the ...

I need an experienced accounting and finance professional who know stats and can do analysis in Excel

I am commissioning a focused study that explores how cultural misunderstandings disrupt everyday interactions among employees. The goal is to pinpoint the most common pain-points so organisations can address them before they escalate into bigger collaboration problems. find 7 articles on this and breif them Scope of work The research must concentrate exclusively on cultural misunderstandings; issues such as language barriers and non-verbal cues sit outside this project. The participant pool should be current employees drawn from at least two distinct cultural or national backgrounds so the data reflects real-world diversity. Methodology You are free to combine qualitative interviews, focus groups and quantitative surveys. Tools like SurveyMonkey or Google Forms for data capture and ...