Data Scientist

Geeks Ltd is an educational technology company focused on innovative language learning solutions. They developed the WordUp mobile app, a leading platform for mastering English vocabulary through AI-driven personalized learning.

• Utilized a Large Language Model (LLM) at WordUp, tailored to enhance vocabulary learning by understanding and generating contextual examples, improving personalized learning experiences
• Utilized machine learning to analyze user behavior and predict churn, identifying key engagement trends that led to a 15% increase in user retention and satisfaction
• Designed and analyzed A/B experiments for new app features, measuring engagement and retention impact; provided actionable insights that improved user activation by 15%
• Developed a Customer Lifetime Value (CLTV) prediction model, leading to a 10% increase in average CLTV through targeted retention efforts
• Developed a Bayesian Marketing Mix Model to optimize budget allocation across digital and offline channels, improving ROI by 12%
• Designed and implemented a high-performance Python ETL pipeline, optimizing CPU and I/O utilization and streamlining data cleansing logic, resulting in a 30% reduction in processing time
• Reduced abandonment rate by 10% by analyzing user onboarding behavior and identifying key drop-off points

Ibiar.com is an online grocery platform developed by Smart and Science.

• Created machine learning models to predict inventory needs, reducing holding costs by 15%
• Built models to predict customer churn, enabling proactive retention efforts that decreased churn rate by 12%
• Implemented algorithms that adjusted pricing based on demand forecasting, increasing revenue by 10%