Tejesh Reddy

Data Scientist, Machine Learning Engineer @Bright Mind

US

Designed and implemented data-driven product analytics frameworks to measure engagement, retention, and conversion across digital learning platforms, enabling a 22% improvement in active user retention. • Collaborated with Product Managers and UX researchers to define success metrics, set experimentation goals, and identify user pain points through data insights and A/B testing. • Developed and automated feature performance dashboards (Python, SQL, Power BI) tracking key KPIs such as session duration, task completion, and learning module adoption. • Built predictive models using Python and scikit-learn to forecast user churn and personalize content recommendations, improving user satisfaction scores by 18%. • Conducted deep-dive exploratory data analysis (EDA) and hypothesis testing to evaluate product changes, quantify impact, and present actionable insights to leadership teams. • Partnered with Engineering to instrument product events and refine data pipelines, ensuring high-quality data collection and faster experimentation cycles. • Drove data-informed product roadmaps by translating analytics into strategic recommendations, influencing prioritization of new features that improved engagement by 30%. • Leveraged SQL, Python, and statistical modeling (A/B testing, regression, causal inference) to assess product performance, optimize experiments, and quantify ROI for feature launches. • Created and maintained automated experiment evaluation scripts and data quality validation tools, reducing analysis turnaround time by 40%. • Collaborated cross-functionally across Product, Marketing, and Engineering teams to ensure alignment of data insights with business and user growth objectives.

KL University

B.tech

University at Buffalo

Master's degree