📚 Projects
| Project Link | Area | Tools | Project Description |
|---|---|---|---|
| Sales Analyzer | CI/CD, Software packaging | Python, GitHub Actions | A Python package for retail sales analysis, offering functions to identify market segments, predict future sales, and analyze seasonal revenue trends. Targeted at small to medium-sized businesses without in-house analytics teams, the package simplifies common sales-related tasks. |
| Heart Disease Predictor | Automated data science workflows | Python, Docker, Makefile | Models built using decision trees and logistic regression to predict heart disease based on health-related features. Achieved an accuracy of 84.4%. Includes feature analysis and plans to incorporate ensemble methods for enhanced performance. |
| Price Elasticity Estimation Using Double ML | Time-Series Analysis, Causal inference | Python, Jupyter Notebook | Analyzes supermarket scanner data to estimate price elasticity of orange juice. Explores how past prices affect current sales, demonstrating a significant price inelasticity. Calculates optimal markup rates using both linear regression and double machine learning techniques. |
🛠️ Tools
Language: SQL, Python, R
Database: PostgreSQL, MySQL, MongoDB
Visualization: Power BI, Tableau, Shiny
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