Welcome to the repository for my Summer Internship at Samatrix under the program AI Product Development. Over the course of four weeks, I worked on seven domain-specific projects, each rooted in statistical techniques and real-world datasets.
This repository contains detailed notebooks, code, and results from all projects completed during the internship.
- Company: Samatrix
- Internship Title: AI Product Development
- Duration: 4 Weeks (May–June 2025)
- Focus: Applying statistical methods to practical problems across various industries
| No. | Project Title | Domain | Techniques Used |
|---|---|---|---|
| 1. | Portfolio Value at Risk | Finance | Normal dist., Monte Carlo, VaR |
| 2. | Website A/B Testing | Marketing / UX | Hypothesis testing, Z-test, conversion rates |
| 3. | Call Center Operations Optimization | Operations Research | M/M/c Queue, Poisson, simulation |
| 4. | Statistical Analysis of Clinical Trials | Healthcare | Survival analysis, Kaplan-Meier, Log-rank |
| 5. | Manufacturing Quality Control with Control Charts | Manufacturing | p-chart, CUSUM, EWMA |
| 6. | IPL Statistics | Sports Analytics | Mann-Whitney U test, visualization |
| 7. | Indian Elections Statistics | Political Analytics | Data cleaning, trend analysis |
Each project is available in its own folder with:
- 📁 Jupyter notebooks
- 📊 Visualizations
- 📄 Summary reports
- Python (Jupyter Notebooks)
- Libraries:
pandas,numpy,matplotlib,seaborn,scipy,statsmodels,sklearn - Markdown & LaTeX for documentation
- GitHub for version control
- Applied theoretical statistics to real industry problems
- Gained experience in simulation, inference, and data visualization
- Learned to communicate technical findings clearly and concisely
Huge thanks to Samatrix for the incredible learning experience and to my mentor Prof. Spoorthy V for the guidance throughout.
For questions or collaborations, feel free to reach out or connect with me!