Customer Churn Prediction Model
Built ML model predicting customer churn with 89% accuracy, leading to 23% reduction in churn rate and $2.4M ARR retention through targeted interventions.
View Case StudyA comprehensive collection of data science and machine learning projects showcasing the intersection of technical expertise and business impact.
Built ML model predicting customer churn with 89% accuracy, leading to 23% reduction in churn rate and $2.4M ARR retention through targeted interventions.
View Case StudyEngineered automated financial data pipeline integrating EODHD API to analyze $1.2T+ S&P 500 ETF performance, calculating risk-adjusted returns and revealing 8.5% performance differential between weighting strategies. Applied quantitative analytics methods with real-time processing of 231 trading days, volatility modeling, and portfolio optimization insights for institutional investment decisions.
View Case StudyDeveloped sentiment analysis API for customer feedback with 92% accuracy, enabling real-time prioritization of critical issues and improving CSAT scores by 18%.
View Case StudyBuilt production-ready ML pipeline processing 300K+ NBA game records with automated web scraping, K-means clustering, and PCA analysis to identify team performance patterns and championship-winning strategies. Implemented scalable data engineering system with checkpoint recovery, statistical validation, and automated feature engineering for multi-dimensional sports analytics.
View Case StudyProcessed 4.7M+ arrest records from NYPD/LAPD datasets with advanced statistical analysis, temporal pattern recognition, and geospatial density mapping to identify population-crime correlations. Developed automated analytics pipeline delivering stakeholder-ready insights for urban planning and resource allocation through data standardization and visualization techniques.
View Case StudyDeveloped collaborative filtering recommendation system that increased average order value by 28% and improved cross-sell conversion by 34%.
View Case StudyDesigned and executed A/B test on pricing strategy, identifying optimal price points that increased revenue by 16% without impacting conversion rates.
View Case StudyImplemented NLP-based automatic ticket routing system using topic modeling, reducing average resolution time by 31% and improving customer satisfaction scores.
View Case StudyBuilt time series forecasting model predicting product demand with 91% accuracy, optimizing inventory management and reducing stockouts by 45%.
View Case StudyI'm always excited to tackle new challenges and create data-driven solutions that deliver real business value.