Data Science Jobs

For my portfolio, I want to develop a complete Python data-science walkthrough based on a public healthcare dataset. The work should start with careful data cleaning (handling missing values, outliers, type conversions) and move through exploratory analysis before arriving at polished visual insights created with pandas, NumPy and Matplotlib. After the EDA, I would like you to implement at least one simple machine-learning model that suits the data—classification, regression or clustering—so feel free to choose whichever fits best once you have explored the variables and target. Please keep the modelling lightweight and well-commented so another student can easily follow the logic. Deliverables • Jupyter notebook (.ipynb) containing all code, visualisations and nar...

I have a dataset that captures our customers’ interactions, purchases, and demographics, and I need a clear, well-documented analysis that turns those raw numbers into actionable insights. Your task is to explore the customer data, surface the key patterns, and explain what they mean for marketing, retention, and product decisions. The scope includes: • Cleaning and preparing the raw files (likely CSV exports from our CRM) • Running descriptive and exploratory analyses to uncover trends, anomalies, and correlations • Producing a concise written summary that highlights the most impactful findings and recommended next steps • Creating intuitive visualizations—feel free to suggest the best format, whether that ends up being charts, a compact dashboar...

I have a sizeable collection of sales data and I want to understand exactly what it is telling me before I move on to any forecasting or optimisation work. I am therefore looking for a quantitative researcher with a solid data-science toolkit who enjoys digging into datasets and communicating clear, descriptive insights. The core of the assignment is a descriptive analysis: cleaning the raw sales tables, exploring distributions, segmenting by relevant dimensions (time, product line, geography, customer type, etc.) and turning those findings into well-structured visuals and concise commentary that a non-technical stakeholder can act on. Python or R is fine—as long as your code is reproducible and annotated—and I expect any dashboards or notebooks you build to run locally withou...

I’m looking for someone who can help me find relevant projects on Freelancer.com, write targeted proposals, and manage/improve my existing portfolio. The Freelancer.com account is new, so there is no previous client history or completed projects on the account yet. The goal is to build the profile gradually by finding genuine projects that match my actual skills and getting the first few successful clients. Main areas: * AI & Data Science * Python * Machine Learning / Deep Learning * AI Automation * Chatbots * Computer Vision * Web Development * Graphic Design What I need: * Find relevant projects * Write customized proposals * Avoid wasting bids on irrelevant projects * Track bids and client responses * Help organize and present my existing projects professionally * Help bu...

WE ARE HIRING | DATA SCIENCE & DATA ANALYTICS TRAINER Analytical Edupoint, a venture of Omnicert Technologies Pvt. Ltd., is looking for an experienced and passionate Data Science & Data Analytics Trainer to join our team. Location: Near Saket Metro Station, New Delhi Position: Data Science & Data Analytics Trainer Experience: 5+ Years of relevant industry/training experience Salary: ₹30,000 – ₹60,000 per month Working Hours: 10:00 AM – 7:00 PM Work Mode: Full-Time | On-Site Immediate Joiners Preferred Key Skills Required Advanced Excel SQL & Database Concepts Power BI Tableau Python for Data Analytics Statistics & Data Analysis Data Visualization ChatGPT & Generative AI Real-World Projects & Case Studies Machine Learning / AI experienc...

I’m putting together an in-depth study on data-center management and operations, and I want it informed by real, on-the-floor experience rather than just theory. If you’ve managed racks, overseen power and cooling, juggled change windows, or battled with incident response dashboards, I’d like to tap into that practical knowledge. The research will zero in on two angles: • Latest technology trends and tools shaping modern facilities—everything from software-defined power monitoring to AI-driven capacity planning. • Concrete case studies that show how those innovations (or tried-and-true practices) perform in the real world. Here’s what I’m hoping you can deliver: 1. A concise written briefing (5–7 pages) outlining the most relevant e...

Python Data Cleaning & Reporting

NOTE-1: If earning money is your main objective, please don't bid. NOTE-2: Applicants focusing solely on "Thesis Writing" or similar services will not be considered at all. Seeking an established STEM researcher for long-term collaboration. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-up publications.

I need a data-savvy partner to dive into our historical sales data and turn it into an accurate, usable forecasting model. The raw files are already cleaned and stored in CSV format; what I lack is the analytical muscle to translate those numbers into forward-looking insight. The core objective is simple: improve our sales forecasting accuracy so we can plan inventory and staffing with greater confidence. I’m open to whichever toolset you’re most comfortable with—Python (pandas, scikit-learn, Prophet), R, or even advanced Excel/Power Query—so long as the end result meets these acceptance criteria: • A well-documented forecasting model that can be refreshed with new monthly data • A concise report explaining your methodology, key assumptions, and perfor...