Analisa Statistik Jobs

Saya ingin menjalankan proyek pengembangan keterampilan dengan fokus khusus pada Analisis Data. Tujuan utama saya adalah membangun pondasi yang kokoh sekaligus memperdalam praktik terbaik sehingga produktivitas, profesionalisme, dan efisiensi kerja meningkat secara nyata. Ruang lingkup yang saya butuhkan: • Penyusunan kurikulum ringkas namun terstruktur mencakup statistik dasar, eksplorasi data, hingga visualisasi. • Materi pembelajaran yang mudah dipahami—slide, catatan singkat, serta contoh kode—menggunakan alat umum seperti Python (pandas, matplotlib) atau SQL, sesuai kebutuhan. • Sesi praktik berbasis studi kasus nyata agar saya dapat langsung menerapkan teknik cleansing, analisis, dan interpretasi hasil. • Penugasan singkat dengan umpan balik ter...

Saya tengah menyiapkan proyek kreatif yang memadukan ilustrasi digital dengan pemanfaatan Natural Language Processing. Fokus pertama saya adalah memperoleh satu gambar karakter full-color berkualitas tinggi. Di sisi lain, saya ingin mulai merintis model NLP dasar yang nantinya bisa diarahkan ke use-case terbaik—apakah chatbot, klasifikasi teks, atau terjemahan masih terbuka untuk diskusi. Ruang lingkup kerja: • Satu ilustrasi digital resolusi tinggi (layer terpisah, format PSD/PNG). • Dokumentasi singkat workflow gambar: software, brush, ukuran kanvas. • Notebook atau skrip Python yang membangun model NLP sederhana menggunakan library umum (TensorFlow, PyTorch, atau spaCy). • Panduan ringkas untuk melatih ulang model dengan dataset saya di kemudian hari. ...

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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...

Project Title DAO Governance Dataset Construction for Academic Research Project Description I am conducting academic research on Decentralized Autonomous Organizations (DAOs) for my master’s thesis. The goal of the project is to construct a structured dataset that will later be used for econometric analysis on the relationship between DAO treasury structure and governance outcomes. I am looking for a freelancer with experience in crypto data, blockchain analytics, or data collection to help build this dataset. Scope of Work The freelancer will collect quarterly data for a sample of major DAOs. The dataset should include approximately 7–10 DAOs. The core DAOs that must be included are: Uniswap DAO MakerDAO Aave DAO Lido DAO Curve DAO Compound DAO Gitcoin DAO If data avai...

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 ...

I am a recent graduate and want a structured skill-development course that takes me from absolute beginner to confident practitioner in data analysis. The program should combine theory with plenty of hands-on practice so I can start applying what I learn right away. What I expect • A clear learning path that begins with fundamental concepts (data types, basic statistics, exploratory analysis) and steadily introduces more advanced topics. • Practical exercises and mini-projects using widely adopted tools such as Excel, SQL and Python (Pandas, NumPy, Matplotlib or similar), so I can build a small portfolio along the way. • Short quizzes or checkpoints after each module to confirm I have grasped the material. • Real-world datasets for practice plus guidance on where...

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...

We are seeking a high-caliber professional with a background in Theoretical Physics, Pure Mathematics, or Information Theory to assist in the conceptual validation of a new computational paradigm. This is a stealth-mode project. No technical details (algorithms, hardware, or frameworks) will be disclosed publicly. We are not looking for a "coder," but for a mind capable of handling abstract algebraic structures and complex systems. Requirements: • PhD or Master’s Degree in Physics or Mathematics. • Deep understanding of Graph Theory or Statistical Mechanics. • Ability to sign a strict Mutual NDA before any technical deep-dive. HOW TO APPLY (Read Carefully): To filter out automated bot proposals, you MUST follow these two steps, or your application will be ign...

I have a raw Foodpanda dataset and want to understand how each restaurant truly performs. Your task is to run a focused exploratory data analysis that zeroes in on sales and revenue figures for every restaurant in the file. I’m interested in trends such as top- and bottom-line growth over time, seasonality, outliers, and any correlations you uncover between order volume, average basket size, discounts, or other revenue-related metrics you choose to engineer. Python, pandas, NumPy, and visualization libraries like Seaborn, Matplotlib, or Plotly are all welcome—as long as the code is clean, reproducible, and well-commented. Please avoid drifting into customer-review or delivery-time angles; the spotlight must stay on revenue-based performance. When you apply, attach a concise...

I need a polished, insight-rich Power BI dashboard that lets our leaders quickly understand three years of people data. The focus is on following KPI families: Employee headcount, Gender Diversity, Attrition and Training & Development. From project-level views to individual drill-downs, the visuals should reveal trends, outliers, and actionable patterns so managers can make decisions on coaching, promotions, and skill-building in seconds rather than hours. Scope of work • Connect to our raw HR data sources (excel files) and model them cleanly for year-over-year comparison. • Build interactive visuals—scorecards, slicers, heat maps, and time-series charts—that highlight performance and learning progress at department, team, and individual levels. • Opti...

**Academic Publication Assistant – 3 Peer-Reviewed Journal Papers** I am looking for an experienced academic writer/editor to assist with submitting and publishing three research papers derived from my PhD dissertation in Rural Studies (University of Guelph, Canada). **The Three Papers:** 1. *Understanding the Complexities of Socio-Ecological Pressures Facing Indigenous Farming Landscapes: The Case of the Chittagong Hill Tracts, Bangladesh* 2. *AEAS as a Mechanism for Farmer Resilience in the Face of Socio-Ecological Pressures in the Chittagong Hill Tracts* 3. *Governance Reform for Effective Agricultural Extension and Advisory Services in the Chittagong Hill Tracts of Bangladesh: Evidence from Mixed-Methods Research* All three manuscripts are nearly complete and ready for submiss...

I'm seeking a Python expert to develop a credit risk management model, focusing specifically on market data. Key Requirements: - Credit Risk Expertise: In-depth understanding of credit risk, particularly related to market data. - Python Proficiency: Advanced skills in Python for data analysis and modeling. - Data Handling: Experience in working with large datasets, especially market data. - Financial Acumen: Strong background in finance and risk management principles. Ideal Skills and Experience: - Proven experience in developing credit risk models. - Familiarity with relevant Python libraries (e.g., Pandas, NumPy, Scikit-learn). - Ability to provide clear documentation and insights on the model developed. Please share your relevant experience and approach to this project. I look ...

I am preparing a publish-ready research paper that answers a provocative question: “Will private jets and yachts ever become as common in India as cars are today?” To make the argument credible, I need a researcher who can combine rigorous economic modelling with clear, journal-style writing. Scope of work You will examine key trends—income distribution, luxury market growth, transportation infrastructure, GDP per capita shifts and the Gini coefficient—then translate those numbers into a probability forecast. Source material must draw on the Hurun India Rich List, The India Wealth Report, leading industry reports, SIAM vehicle data, and macro-indicators from World Bank and IMF databases. Feel free to enrich the study with additional peer-reviewed or proprietary d...

I have a raw export of sales transactions and want to understand what the numbers are actually saying. Using Power BI and Excel, please transform the dataset into an easy-to-read snapshot of performance so I can see totals, averages, trends over time, and key segments at a glance. Scope – Clean and structure the file so every column is usable. – Produce descriptive statistics that highlight overall revenue, units sold, average order value, growth by month or quarter, and any noticeable seasonality. – Build an interactive Power BI dashboard (with filters for date ranges, product categories, regions, and sales channels) and a companion Excel workbook that mirrors the same insights for quick offline reference. – Include a brief written summary that calls out t...

I have a large, raw Flipkart sales export that needs to be turned into a polished, insight-rich Power BI dashboard. The core story I want told is product performance—specifically which items are driving the most revenue, which are lagging, and how return rates are affecting overall profitability. Beyond that focal point, the model should still let me glance at revenue trends, customer-purchase patterns, seller distribution and the impact of discounts, but competitor benchmarking is not required this time. Your work starts with data shaping in Power Query, progresses to a well-structured star schema, and ends with elegant, drill-through visuals built in Power BI Desktop. I rely heavily on DAX measures, so clear, well-named calculations are essential. Deliverables • Cle...

I am at the final stage of my MD thesis and need a fresh, expert eye on three key chapters—Results, Literature Review, and Summary/Discussion. The language is already proof-read; what I need now is someone who can strengthen the logic of my arguments, clarify the narrative flow, and ensure the statistical story is airtight. Results chapter • Check every statistical test for accuracy and appropriateness. • Tighten data-analysis interpretations so conclusions follow naturally from the numbers. • Re-work tables, figures, and wording so findings are presented as clearly and persuasively as possible. Literature Review • Make sure the argument builds coherently from current evidence to my study rationale. • Identify any missing seminal papers or recent ...

My MD thesis draft is complete and now needs a final, professional overhaul so I can submit it with confidence. I’m looking for someone who can move quickly yet meticulously through three key tasks: refine the data analysis section for accuracy and clarity, repair the structural flow (with special attention to the Table of Contents, Results, and Summary/Discussion chapters), and eliminate any remaining plagiarism using Grammarly’s detection tools. The document is already written; I don’t need fresh content—just expert correction and optimisation. Please keep all medical terminology intact while tightening language where necessary, update any statistical tables or figures if errors surface, and re-format headings, pagination, and spacing so the entire thesis aligns ...

I am starting a PhD in Computer Science and must build a full design-science dissertation in cybersecurity. The core focus is cyber threat detection, drilled down to intrusion detection systems, and the work has to rely on a solid quantitative analysis plan. Here is what I need straight away: • A concise, publishable sample topic that clearly reflects a design-science contribution to intrusion detection (for example, “A Machine-Learning–Enhanced, Self-Adapting Network Intrusion Detection Artifact: Quantitative Evaluation on Real-World Traffic”). • A 4-5 page concept paper that my graduate committee can review. It should cover: problem statement, objectives, research questions or hypotheses, expected design artifact, quantitative evaluation strategy, brief lit...

I am looking for a remote academic research assistant to support the preparation of a Master’s thesis in Human Resource Management. The role includes helping with: Developing the research idea, problem, and objectives Conducting a literature review and identifying research gaps Designing research tools (survey questions or interview questions) Supporting data organization and statistical analysis Assisting with academic writing and editing The thesis will be written in Arabic, so the candidate must have strong Arabic academic writing skills. Preferred qualifications: Experience with academic research and thesis preparation Knowledge of research methodology (especially descriptive analytical research) Ability to access and review previous academic studies Experience design...

I am working on a 10–15 page experimental psychology research paper written in APA format, and I need help writing it based on the materials I will provide (rubric, literature matrix format, sample experimental paper structure, and presentation information). The final paper must follow the required structure and formatting for an experimental psychology research paper and meet the rubric requirements, including APA formatting, citations, references, figures, and tables. The paper should include the following sections: Title Page, Abstract, Introduction, Literature Review, Theoretical Framework, Purpose of the Study, Method, Results, Discussion, Conclusion, and References. The literature review must include at least five peer-reviewed journal articles from the last 10 years and should...

I need an expert in genomic data analysis, specifically with SNP array data and GEBV modeling. Tasks include: - Data preprocessing and quality control - Statistical analysis and modeling - Visualization of results Ideal skills and experience: - Proficiency in bioinformatics tools and software - Strong background in statistics and modeling - Experience with SNP array data and GEBV modeling - Ability to create clear, informative visualizations Looking for someone detail-oriented and experienced in handling complex genomic datasets.

I need a comprehensive review of the data analysis and presentation chapter of my mixed methods research. The analysis has been conducted using SPSS. Key Requirements: - Focus on improving presentation clarity - Ensure logical flow and coherence - Check for any ambiguous or confusing sections Ideal Skills and Experience: - Proficiency in SPSS - Strong background in mixed methods research - Excellent academic writing and editing skills - Experience in reviewing data analysis chapters

I need a well-structured research paper that explores a topic within public health. The work should reflect current thinking in healthcare and medicine, draw on peer-reviewed literature published within the last five years, and present clear, evidence-based conclusions. Please organise the manuscript in the usual academic format: abstract, introduction, methodology, results, discussion, conclusion, and references. APA citation style is preferred. A concise literature review that highlights recent findings and any gaps the study addresses will strengthen the paper. Deliverables: • Complete manuscript in editable Word format • Separate reference list with full citations • Any data tables or figures as individual files (if applicable) Originality is critical; all content...

I need a detailed simulation of our warehouse operations using Flexsim. The main goal is to optimize our storage layout, improve our picking processes, and enhance our throughput efficiency. Key Requirements: - Create a comprehensive model of our current warehouse operations - Simulate various scenarios to identify optimal storage layouts - Analyze and improve picking processes - Enhance overall throughput efficiency Ideal Skills and Experience: - Proficiency in Flexsim - Strong background in logistics and warehouse management - Experience in process optimization and simulation modeling - Analytical skills to interpret simulation results and provide actionable insights Please provide examples of previous simulations and any relevant certifications.

I need an 8- to 10-page conference paper that presents a hybrid machine-learning Security Information and Event Management (SIEM) framework combining Random Forest and Isolation Forest for network-threat detection. The manuscript must follow either Springer LNCS or Scopus proceedings guidelines, complete with the correct template, figure sizing, and reference style. Core structure • Introduction and literature review that positions the problem, surveys recent SIEM advances, and justifies the hybrid approach. • Methodology and data analysis describing data-preprocessing, feature engineering, model building in scikit-learn, and experimental evaluation on publicly available cybersecurity datasets (e.g., CIC-IDS 2017, UNSW-NB15, or similar). • Conclusion and future work...

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...

I need a 4 000–5 000-word manuscript on “Nanostructure Control and Acid Resistance Mechanism of Fluorosilicone-Modified Epoxy Resin Coatings” prepared to the standard of an EI-indexed journal. The discussion must revolve chiefly around nanostructure control, using an experimental study framework. Within that framework, please put particular emphasis on the materials and their precise composition as well as on a clear, data-driven presentation of results and analysis. I will supply any supplementary lab records and raw data you request; you handle the full academic write-up, including abstract, introduction, methodology, results, discussion, conclusion, and properly formatted references (preferably recent, high-impact sources in surface-coating science). Deliverables ...

I need a well-structured paper survey that feeds directly into the data-collection chapter of my doctoral dissertation. The instrument must be academically rigorous, grounded in recent peer-reviewed literature, and framed so that professionals—my target respondents—can complete it in one sitting without fatigue. Content requirements • A balanced mix of multiple-choice items for quick quantitative insights, carefully worded Likert-scale statements to capture attitudes, and a select set of open-ended prompts that invite richer qualitative commentary. • Logical sectioning that mirrors my research questions and variables, with clear skip logic noted where relevant. • Brief scholarly justification for each item or scale (APA citations are fine) so I can defen...

I'm looking for Mathematics and Biomedical research expert and engineer to help out with project ideas and execution.

Psychology grad & HR professional ready to help! HR Admin & Data Entry (Excel, Word, PPT) Content Writing & Articles Psych Statistics: Scoring, Interpretation, & Data Analysis Software: SPSS, LISREL, Mplus Interested? Follow or DM me directly!

I need a comprehensive medical clinical audit conducted to meet academic requirements. This audit is not for course development but solely for assessment purposes. Key Requirements: - Detailed evaluation of clinical processes - Comprehensive report for academic submission Ideal Skills and Experience: - Background in healthcare or medical auditing - Strong analytical and reporting skills - Familiarity with clinical guidelines and regulations

I need a detailed prospectus for my scientific research thesis. The prospectus should focus on discovering new information, specifically mechanisms or processes. Ideal Skills and Experience: - Strong background in scientific research - Experience in writing academic thesis prospectuses - Ability to clearly articulate research goals and methodologies - Knowledge of various scientific mechanisms or processes Healthcare focus

I have a data set from comparative studies and I need the full analytical cycle carried out in SPSS right away. The work covers three layers: descriptive statistics to profile the sample, inferential tests to detect significant differences between the study groups, and a regression model to pinpoint predictors of the main outcome. Please import the raw file into SPSS, verify coding, run the analyses, and return a concise report that explains each result in plain language together with the .sav file and syntax so everything is fully reproducible. I am ready to start immediately and would like the first set of tables and figures back as soon as you complete them so we can keep momentum.

Here are some important exam details: Logistics: You will have the full 90 minutes to complete the exam. No Cheat Sheet/Calculators: The exam is closed-book, and no sheets are allowed. You will not need a calculator for the exam, as most questions are conceptual or will not require much calculation. As such, calculators are not allowed. Format: The exam will consist of multiple-choice (with no partial credit), short answer, and long form answer questions. Content: Modules 1-9 (see below for module names) from the beginning of the semester up to and including this Thursday's lecture (2/19) will be included on the exam (each module will be represented approximately evenly, and we will mainly focus on the content in the HWs and lectures). Module 1: Intro to Big Data Analytics Modu...

Our historical sales data is signalling shifts that we don’t fully understand yet, so the priority is a diagnostic analysis that tells us not just what changed, but why it changed. The raw tables cover order details, customer attributes, product SKUs and daily revenue going back three years. Primary questions on the table: • How have sales trends evolved month-to-month and season-to-season? • Which customer segments are driving (or dragging) revenue, and how has their purchasing behaviour shifted? • Which products or product groups are over- or under-performing once promotions, returns and stock-outs are factored in? A clean, reproducible workflow in SQL, Python (Pandas, NumPy, Sci-Py) or R is essential so the team can rerun the analysis after future data drops...

I’m running an academic study and need a reliable partner to gather a clean, well-structured dataset. The precise source is still open—fresh survey responses, publicly available web data, or even existing transactional records are all on the table. What matters is that the data be captured ethically, documented thoroughly, and delivered in a format ready for statistical analysis. Here’s what I need from you: • A brief proposal outlining the collection strategy, recommended tools (e.g., Qualtrics, Python/BeautifulSoup, Selenium, SQL, Excel), and estimated timeline • The final dataset in CSV or equivalent, fully de-duplicated and consistently formatted • A concise data dictionary describing each variable • A short methodology note (1-2 pages) exp...

I want clear, data-driven insight into how much shoppers are willing to pay for different styles and qualities of bedsheets. The assignment is straightforward: research the market with price sensitivity as the core metric, then translate the findings into concrete recommendations I can act on. I need you to: • Gather current retail and online price points for comparable bedsheets, noting fabric type, thread count, and brand position. • Speak with or survey a representative sample of potential buyers to learn at what prices they hesitate, switch brands, or decide to purchase. • Present the raw data along with a concise report that highlights optimal price bands, threshold prices that trigger resistance, and any seasonal or promotional patterns you discover. A simp...

I need help with coding and thematic analysis using NVivo for my hermeneutic phenomenology study. Tasks involve: - Assisting with importing and managing data in NVivo. - Helping with coding and memoing. Ideal skills and experience: - Proficiency in NVivo, especially in importing data and coding. - Experience with qualitative research and thematic analysis. - Strong organizational skills.

I need a comprehensive research proposal investigating the impact of delays in variation order approvals on contractor performance, specifically focusing on cost efficiency, in Dubai's infrastructure sector. Key focus areas: - Analyze the impact of these delays on cost efficiency. - Identify and propose process improvements to mitigate these delays. Ideal skills and experience: - Strong background in construction management or related fields. - Expertise in research methodologies. - Experience with process improvement strategies. - Knowledge of the Dubai infrastructure sector is a plus.

I am preparing for the official GRE and need guidance and support that will push my current practice score of 300-302 up to the 325-333 range. I want a tutor who has personally achieved a score in that band within the last year, so you can pass along fresh, first-hand strategies rather than dated theory. The help must cover all three sections—Quantitative Reasoning, Verbal Reasoning, and Analytical Writing—because I need balanced improvement, not just a boost in one area. I learn fast when explanations are backed by recent test experience and when I can see the reasoning behind every choice, shortcut, and essay outline. Sessions will be online only, using whatever interactive whiteboard or screen-sharing tools you prefer (Zoom, Google Meet, etc.). Ideally, you will: • D...

Required: A specialist expert in climate modeling and simulation to carry out a professional climate simulation using globally recognized climate models. Practical experience is required in operating one or more of the following models: WRF (Weather Research and Forecasting Model) RegCM (Regional Climate Model) MPAS CESM INM-CM Or any recognized regional/global climate models used in climate research. The objective is to analyze climate variables and study environmental impacts before and after with high scientific accuracy. Proven experience is required in: Handling reanalysis datasets such as ERA5 or equivalent Running different simulation scenarios Analyzing outputs and performing statistical comparisons Applicants are requested to provide the following: Samples of previous simi...

I'm seeking an expert in clinical psychology, specifically in systemic approaches, to assist with my master's research paper. The focus is on systemic clinical psychology, and the methodology employed will be systemic. Key Requirements: - In-depth knowledge of systemic clinical psychology. - Strong research skills, particularly in systemic methodologies. - Ability to analyze and synthesize complex psychological concepts. - Excellent academic writing skills. - Prior experience with master's level research papers is a plus. Ideal Skills and Experience: - Advanced degree in psychology or related field. - Background in systemic theory and its applications in clinical settings. - Experience in conducting and writing up research in psychology.

I need an application that leverages AI to analyze market research survey data. The primary aim is to gauge public sentiment on social issues and government policy. Key Requirements: - Analyze survey responses - Identify key findings - Generate a report on ppt format with data visualization Ideal Skills and Experience: - Proficiency in AI and machine learning - Experience in data analysis, especially with survey data - Knowledge of sentiment analysis techniques - Ability to build user-friendly applications Looking for freelancers who can deliver accurate and actionable insights efficiently. Preferrably based in Singapore to facilitate face-to-face interactions.

Overview We are hiring 3 experienced Data Scientists to participate in a structured data challenge as part of a paid engagement. This is not a generic Kaggle-style competition. You will be exploring an AI-native data platform, analyzing real-world event data, and submitting a structured, reproducible project. If selected, you’ll be compensated for your participation and submission. What You’ll Be Doing Explore a new AI-powered data workspace Analyze user behavior/event data Define your own success metrics Build insights using statistical/ML techniques Submit: A complete reproducible data project A written summary explaining methodology and findings A public project link You will be working individually. Ideal Candidate We’re looking for someone who: Has basic under...