Welcome! This repository showcases selected hands-on projects completed during my Executive MBA in Product Management & Strategy.
Each project applies real-world data analytics, AI/ML techniques, and GIS mapping to solve strategic business problems — from market segmentation and pricing to churn prediction and growth planning.
- Practical Python notebooks: Clustering, regression, cohort analysis, MDS, conjoint analysis, classification.
- Business-focused insights: Turning data into clear decisions for GTM, customer retention, and revenue lift.
- Interactive dashboards & visualizations: Using Folium, Plotly, and other Python libraries.
- GIS integration: Early examples using QGIS and Folium for geo-segmented insights.
├── Mypick_Pickle_Case_Study/ │ ├── regression_analysis.ipynb │ ├── mds_perceptual_map.ipynb │ ├── README.md │ ├── ABCApps_Playstore_Analytics/ │ ├── appstore_dashboard.ipynb │ ├── user_reviews_analysis.ipynb │ ├── market_trends.ipynb │ ├── README.md │ ├── GIS_Examples/ │ ├── tamilnadu_travel_map.ipynb │ ├── customer_cluster_map.ipynb │ ├── README.md │ ├── LICENSE └── README.md
Goal: Improve stagnant sales and brand positioning in a competitive market.
- Techniques: Regression, Multidimensional Scaling (MDS).
- Outcome: Data-driven budget allocation, seasonal targeting, new product launch recommendations.
Goal: Analyze user reviews & installs to guide app store growth strategy.
- Techniques: Data visualization, trend analysis, comparative category insights.
- Outcome: Actionable takeaways for new user acquisition and retention.
Goal: Map regional adoption clusters and travel routes using open-source GIS.
- Tools: QGIS, Python Folium, OpenRouteService API.
- Outcome: Demonstrates ability to combine spatial insights with data analytics.
- Python, Jupyter Notebooks
- Pandas, Scikit-learn, Plotly, Folium
- QGIS, OpenRouteService API
- Data Cleaning, Visualization, Regression, Clustering, Classification, Conjoint Analysis, Cohort Analysis
This is more than coursework — it shows how I translate analytics and AI concepts into practical solutions that drive business value.
Each notebook is well-commented and easy to follow, so you can see the full problem-solving workflow, not just final outputs.
LinkedIn: Prashanth Kumar Nagapaga
Portfolio: My Portfolio Website
Email: pnagapaga@gmail.com
⭐️ If you find these examples useful or want to collaborate, feel free to connect!