Machine Learning Research Intern

Key Achievements

• Optimized SQL queries and built data migration modules for improved performance
• Created ETL pipelines for video recommender systems serving 5M+ users
• Ran A/B tests and regression analysis to measure feature impact
• Designed Tableau dashboards for business intelligence and user analytics

Problem Statement

• Platform needed personalized video recommendations to improve student engagement
• Existing data pipelines were inefficient and required optimization
• Business teams needed real-time analytics for data-driven decision making
• User engagement metrics needed systematic tracking and analysis

Technical Implementation

• Optimized complex SQL queries reducing execution time by 40%
• Built robust data migration modules for seamless data transfers
• Developed scalable ETL pipelines for processing video interaction data
• Implemented machine learning models for personalized content recommendation
• Designed and executed A/B testing frameworks for feature validation
• Created comprehensive Tableau dashboards for business stakeholders
• Set up automated monitoring and alerting systems for data quality

Impact & Results

• Improved video recommendation accuracy leading to increased student engagement
• Reduced data processing time through optimized pipelines and queries
• Enabled data-driven product decisions through comprehensive analytics
• Supported 5M+ users with reliable and scalable data infrastructure
• Provided actionable insights to product and business teams

Technologies Used