Ilmu Data 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 mengelola usaha sembako yang menjual berbagai kebutuhan pokok—beras, gula, minyak, telur, dan barang harian lainnya. Saya ingin membangun sebuah sistem rekomendasi berbasis AI agar setiap pelanggan mendapatkan saran produk yang paling relevan setiap kali berbelanja. Kebutuhan utama • Fokus pada rekomendasi produk, bukan konten atau pengguna lainnya. • Pendekatan awal menggunakan Collaborative Filtering; jika diperlukan, Anda boleh mengusulkan teknik pendamping guna meningkatkan akurasi. • Model harus mampu belajar dari pola transaksi historis toko ritel sembako. Cakupan pekerjaan 1. Merancang dan melatih model Collaborative Filtering (matrix factorization atau metode sejenis). 2. Menyiapkan pipeline sederhana untuk memproses data penjualan harian (CS...

I need an AI-driven program that can swing and day-trade stocks automatically and safely in my brokerage account. Because I’m a beginner, the bot must handle the full workflow—from screening symbols and timing entries to placing orders and tracking results—while remaining easy for me to understand, install, and fine-tune later. Please build it in Python (or a language you can actively support) and connect through a reliable broker API such as Alpaca, Interactive Brokers, or Tradier. Feel free to combine proven technical indicators with machine-learning models (pandas, scikit-learn, TensorFlow / PyTorch, etc.) so the system can adapt to market conditions, set stops, adjust position size, and exit positions at predefined profit or risk levels. A lightweight dashboard or cl...

I’m looking to create a single, versatile AI partner that can slot into virtually any industry and shoulder a broad spectrum of work. Core responsibilities • Answering customer queries – from e-commerce product questions to finance-specific account balance inquiries, transaction history reviews, and even investment advice. • Providing data analysis and insights that help turn raw numbers into clear, actionable recommendations. • Automating repetitive tasks across departments so human teams can focus on higher-value work. Although finance use-cases are a priority right now, I want the underlying system to be readily adaptable to “everythings ;)” – healthcare, retail, logistics, you name it. What I need from you 1. A well-structur...

Data Science Competition in the HAGO Community We invite all data enthusiasts and creative minds to join a unique challenge within the HAGO community to form a team of data scientists, aiming to participate in global competitions and analyze financial markets and stocks. Challenge Topic We provide a comprehensive dataset covering: Electric Vehicle (EV) performance. Charging behavior. Battery health. Cost analysis across different manufacturers, models, regions, and usage types. Participants are required to: Explore and analyze the dataset. Build accurate predictive models. Present innovative insights into the future of electric vehicles. Submission Guidelines Submit a file written in Python, including all steps of analysis and prediction. Save the file as a PDF and upload it u...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

I have a batch of highly-structured PDFs whose tables combine text and numeric fields on every line. Each file also contains a few reference images, but the scope of this job is strictly to capture the text-and-number data and place it into the corresponding columns of a Google Sheet that I will share with you. Because the layout is consistent across all documents, once the pattern is understood the work should flow quickly. Accuracy is more important to me than speed: every field must match the PDF, number formats must stay intact, and any missing or illegible values should be flagged in a separate “Notes” column rather than guessed. Deliverables • A fully populated Google Sheet mirroring every row and column that appears in the PDFs • A brief note highlighting ...

I need to built an AI-driven system that dynamically estimates optimal auctions starting prices to addresses the inefficiencies in the current manual and static reserve-pricing system for vehicle plate auctions on the Absher platform. It is divided into two distinct projects that work in tandem: the AI Engine and the Analytics Dashboard Project 1: The AI Pricing Engine (Backend) This is the "Brain" of the operation. It handles the heavy lifting of mathematical modeling and real-time forecasting. Primary Purpose: To transform cultural plate features into monetary value using Machine Learning and to forecast auction trajectories. Core Capabilities: Dynamic CART Regression: Uses the Decision Tree algorithm to calculate reserve prices based on non-linear features (Symmetry, Repe...

**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning / Deep Learning / AI **Project Description:** I am looking for an experienced Machine Learning / Deep Learning developer to build a model also novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of th...

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...

Backend Engineer Needed for RAG Architecture (LLM + Vector Database) --- Project Description I am looking for an experienced developer to design and implement a production-grade RAG (Retrieval-Augmented Generation) backend for a controlled knowledge system. This is not a generic chatbot project. The goal is to build a system where a language model can query a structured knowledge base while enforcing strict safety and retrieval rules. The system will be used in a clinical / healthcare-related context, so accuracy, traceability and rule enforcement are critical. --- Current Infrastructure The current setup includes: WordPress website hosted on Hostinger (content origin / source of truth) Cloud environment on Hetzner available for backend deployment Initial automation infrastruc...

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...

We need technical support in share trading i.e hardware and software for trading workstation and secondly the stretagy and practice part of trading. please quote.

I’m building a complete AI-driven platform that trades listed options for me end-to-end. The engine has to recognise and act on the full range of strategies I use—straight buying or selling of calls and puts, multi-leg spreads, straddles, strangles, and any automatic strategy the model itself flags as favourable. Core capabilities I need • Real-time market analysis that fuses live quotes with historical time-series data, news feeds, social-media sentiment and technical indicators such as Wave Trend, VWAP and similar momentum tools. • Automated trade execution through a broker API, with order staging, smart routing and position monitoring. • Built-in risk management covering position sizing, max-loss cut-offs, volatility shocks and margin checks before any or...

Explainable AI Models for Any topic with novelty Project Description: Build a complete end-to-end Machine Learning project using dataset (CSV) to identify the source of infection using Explainable AI models. The project should include data loading, EDA (missing values, distributions, correlations, visualizations), data preprocessing (handling missing data, encoding categorical features, scaling numeric data, removing outliers), and feature selection. Train and compare multiple ML models with cross-validation and hyperparameter tuning, and include explainability using SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations). Deploy the system with a Streamlit web UI where users can upload datasets, select the target column, run preprocessing, train...

Job Title: macOS App Data Extraction Specialist (Offline QBank – Reverse Engineering Required) Job Description: We are seeking an experienced freelancer with expertise in macOS application data analysis and reverse engineering to help extract offline data from a medical QBank application installed on macOS. The application allows users to download question banks for offline use, and the required data already exists locally within the app’s container directory on the Mac. However, the storage format appears to use a browser-style database system (e.g., IndexedDB/LevelDB) rather than a traditional SQLite database. Your task will be to analyze the application’s local storage structure and extract the stored QBank content into a clean, structured dataset. Scope of Work: Analy...

I need a complete, reproducible deep-learning pipeline that takes raw leaf images, learns to recognise plant diseases, and then serves the prediction through a Streamlit interface. Because I do not yet have the images, the first task is to identify and download a suitable, well-labelled dataset from Kaggle. Feel free to compare a few candidates, but the final choice should give good class balance and enough samples per disease category. Once the data is in place, walk through exploratory data analysis, preprocessing, and augmentation inside a Jupyter notebook. From there, build and tune a convolutional neural network (TensorFlow / Keras or PyTorch are both fine) and report the usual metrics plus a confusion matrix so I can judge class-wise performance. When the model is satisfactory, save...

I need an options screener that ranks option chains by their gamma and vanna exposure so I can quickly spot names with outsized dealer flows. The first milestone is a Python-based dashboard that pulls real-time and historical pricing, volatility, and volume data, calculates the two greeks, and lets me sort or flag contracts accordingly. Data will come from whatever reliable feed you prefer (IBKR, Tradier, CBOE, etc.); as long as I receive clean price, IV and volume series, I’m fine. The code should be organised in modular form—think data-pull, greek-calc, and UI layers—so we can later bolt on extra filters (strike, expiration, IV skews) without a rewrite. If the screener works as intended we’ll move to two optional follow-ups: 1. A back-tester. 2. A auto tra...

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 business thesis on the topic of supply chain management, specifically focusing on inventory control and the demand forecasting technique. Key Requirements: - In-depth analysis of demand forecasting - Application of theoretical concepts to real-world scenarios - Critical evaluation of current trends and technologies - Well-structured, academically rigorous, and original content - Proper citations and adherence to academic standards Ideal Skills and Experience: - Advanced degree in Business or Supply Chain Management - Strong research and analytical skills - Experience in demand forecasting methodologies - Proficient in academic writing and thesis development Please include relevant experience in your bids.

Important Conditions • Before awarding the project, I must discuss the work via an audio call. Messaging alone will not be sufficient. • If you are not comfortable with a call, please do not apply. • Only apply if you have your own publications or verifiable academic writing experience in AI/ML. Traders, agencies, or people without real publication experience will only waste time. • The ghostwriter must also take responsibility for assisting until the paper is successfully accepted by the target journal. • Payment will be released after acceptance of the paper. If you have a track record of publishing or ghostwriting in AI/ML, please share one or two representative samples of your published you want, I can also help you create: a much shorter version that attrac...

Our in-house search engine needs a sharp, data-driven eye to make every query deliver the right mix of products, articles, and images. I want you to analyse how users currently interact with results drawn from both textual content and rich imagery, spot the mismatches, then tune the ranking logic until relevance lifts our conversion rate. What you’ll do • Audit the existing pipeline, from query parsing to ranking, on our custom platform. • Work with mixed data (product descriptions, metadata, and image features) to understand which signals matter most for purchase decisions. • Design or refine relevance metrics and an evaluation set we can reuse for ongoing benchmarking. • Implement ranking improvements—whether that means boosting rules in Elasticse...

Our Intercom inbox relies on FIN AI, yet too many chats still reach human agents. After digging into the analytics I’m convinced the root cause is the accuracy of the answers FIN serves, not the UI or core algorithm. I need an expert who can turn better training data into sharper, more dependable responses so customers self-serve more often. Here’s what I’m looking for you to do: • Audit recent conversation logs and the existing FIN knowledge base to pinpoint coverage gaps and misleading examples. • Curate or create high-quality, well-structured training data that directly addresses those gaps—think clarified FAQs, edge-case scenarios, and fresh intents drawn from real chats. • Prepare the dataset in the format Intercom accepts and guide (or h...

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

We are looking for an Engineering Mathematics research expert for mathematical science projects. If you have the experience in areas of mathematical combined with sciences such as biomedical and engineering research project skills. This is a perfect match if your have several research published in researchgate.

More details: Which deep learning framework do you prefer for this project? TensorFlow Do you have a preferred dataset for brain MRI image segmentation? Please use a publicly available dataset Which style of output visualization do you prefer? 2D slices with segmentation overlay

I’m building a research-grade quantum simulator in Python and need a robust codebase that can accurately model multi-qubit circuits, apply standard gate operations, and return state-vector or density-matrix outputs. Whether you prefer to work directly with NumPy/SciPy or leverage existing open-source frameworks such as Qiskit, Cirq, or QuTiP is completely up to you; the key requirement is clean, well-documented code that runs reliably under Python 3.11. Please provide: • A modular simulation engine capable of handling at least 10-15 qubits, with optional noise or decoherence modelling • A clear, Pythonic API for defining circuits, executing simulations, and extracting results (probabilities, expectation values, etc.) • Unit tests plus a concise README that cover...

I have several raw datasets that need to be transformed into clear insights I can act on. Because the data spans different business areas, I’m open to whichever analytical approach—descriptive, predictive, or prescriptive—you believe will unlock the most value. Here’s what I’d like to walk away with: • A clean, well-structured dataset that documents every transformation step • An analysis that highlights key patterns, outliers, and actionable trends • Visualisations and a brief write-up summarising findings, assumptions, and recommended next steps Please outline the method you would apply, the software stack you’d choose, and any clarifying questions you have about the data’s shape or source. Once we agree on scope, we can bre...

I have already deployed a full Streamlit application that predicts loan approvals in real time (live demo: , source: ). The pipeline currently includes Logistic Regression, K-Nearest Neighbors, and Naive Bayes models with standard scaling and the usual EDA-driven feature engineering. What I want now is a measurable lift in overall model performance, with the F1-score as the guiding metric. Feel free to explore more advanced algorithms (e.g., Gradient Boosting, XGBoost, LightGBM, calibrated ensembles, or even a tuned version of my existing classifiers) as long as they integrate cleanly with the existing Python | Pandas | NumPy | Scikit-learn stack and can be surfaced through the current Streamlit front-end. Key points you should address • Re-examine preprocessing and feature sele...

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Dazzx is moving beyond simple template filtering toward a genuine Creative Layout Intelligence Engine. The platform’s canvas already renders static JSON designs; what is missing is the brain that, from three user inputs—uploaded assets, a short marketing prompt, and the chosen design size—can suggest the three strongest advertisement layouts out of a library of 10,000-plus templates. The assignment is to build that brain. The workflow I have in mind is: • Parse and understand the marketing prompt, extracting intent, tone, and any product cues. • Match those insights against our tagged template corpus, scoring each layout on visual hierarchy, probable asset fit, and relevance to the prompt. • Return the top three candidates as Fabric-compatible JSON, ...

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...

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.

GIS Technician – QGIS/ArcMap (Land Survey / Development Plan, Forestry & Carbon Data Production) Project Overview I am a Registered Professional Forester (RPF) looking for a reliable GIS Technician to assist with ongoing data production for forestry and carbon sequestration projects. I will provide the methodology, analysis parameters, and source data; I need a technical expert to execute the digitization, georeferencing, and file management. Scope of Work Georeferencing: Accurately georeferencing PDF maps, historical survey plans, and aerial imagery. Digitizing: Creating clean, topological vector data (polygons/lines) from georeferenced sources (e.g., woodlot boundaries, stand types, watercourses). Attribute Management: Populating attribute tables according to specific forest...

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...