Projects

1. Customer Churn Prediction

🔹 Technology: Python, XGBoost, Scikit-learn
🔹 Outcome: Achieved 88% accuracy, reducing churn by 15%.

2. House Price Prediction

🔹 Technology: Python, Pandas, Regression Modeling
🔹 Outcome: 3.5% mean absolute error in price estimation.

3. Sentiment Analysis on Social Media Data

🔹 Technology: NLP, VADER, BERT, Transformers
🔹 Outcome: 85% accuracy in classifying real-world Twitter data.

4. Marketing & Sales Data Analysis

🔹 Technology: Power BI, Data Visualization
🔹 Outcome: Improved revenue tracking efficiency by 30%.

5. AI-Powered Chatbot

🔹 Technology: OpenAI API, NLP, Flask
🔹 Outcome: Automated 40% of customer support queries.

6. Automated ML Pipelines

🔹 Technology: Azure ML, Docker, GitHub Actions
🔹 Outcome: Developed a scalable MLOps pipeline for model deployment.