Welcome! This repository is a showcase of real-world data analytics, visualisation, and machine learning work. It demonstrates my skills with tools, clean data, extracting insights, building models, and communicating results.
This repo is organised by tool / technology to help you quickly see where my strengths lie:
| Folder | Focus / What You’ll See |
|---|---|
| End-to-End Projects | Full data project lifecycle: gathering or receiving data → cleaning/pre-processing → exploratory analysis → modelling → evaluation → presentation & dashboard/reporting. |
| Python | Python-based analysis & modelling (Pandas, NumPy, scikit-learn, etc.), scripting, possibly notebooks. |
| SQL | Querying, transforming, joining datasets; database design or schema work; writing efficient/clear SQL. |
| Power BI | Dashboards, interactive reports; data modelling; DAX; design & user interaction. |
| Tableau | Visualisations / dashboards with storytelling emphasis. |
| Excel | Data manipulation & reporting via Excel: pivot tables, formulas, dashboards or models built within Excel. |
Here are the key tools, languages, and skills I regularly use:
- Programming & Statistics: Python, SQL
- Data handling / manipulation: Pandas, NumPy, Excel
- Machine Learning & Modelling: Scikit-learn; model building, validation, evaluation
- Visualisation & Reporting: Matplotlib, Seaborn, Power BI, Tableau
- Dashboarding & Business-Insight: Data storytelling; building interactive dashboards; communicating insights to non-technical audiences
Below are a few sample projects that illustrate my work best:
| Project | What I Did / Why It Matters |
|---|---|
| End-to-End Vendor Performance | Built an end-to-end pipeline for vendor performance: data cleaning, KPI definition, modelling/insights, reporting. |
| Job Simulations | (if applicable) Simulated business-scenarios or problem statements to practice modelling / decision support. |
| Excel / Power BI / Tableau projects | Visual and interactive dashboards for stakeholders; emphasis on usability, clarity, and design. |
If you want to dig in:
- Browse by technology/tool folder to find the kind of work you're most interested in (e.g. dashboards, modelling, querying, etc.).
- Each project folder has its own README / description with what I did, the data used (if public), key methods, findings & visuals.
- You can run notebooks / dashboards (where applicable) to see my approach in action.
If you’d like more detail or a walkthrough of any project, feel free to reach out:
- Email: vinitprg@gmail.com
- LinkedIn: linkedin.com/in/vinit-praganesh
Thank you for reviewing my work!