In my self-driven data science and analytics projects, I develop machine learning and business intelligence solutions using Python, SQL, Power BI, and Flask. I’ve built interactive dashboards for sales analysis, KPI tracking, and customer insights.
For my customer churn project, I created an end-to-end pipeline with Logistic Regression, Random Forest, and XGBoost, then used SHAP to interpret predictions. I deployed the model in a Flask application for real-time predictions.
I also developed an LSTM-based fake news detection system that achieved 98.8% accuracy on 40K+ news articles. My work includes NLP preprocessing and deploying the model as a Flask web application.
