Janvisree Puligundla

Master's

Computer Science

McKinsey & Company

Jr Data Scientist

• Engineered and deployed scalable machine learning models for search optimization and GenAI applications, leveraging TensorFlow, Scikit-learn enhancing system performance by 20% and improving user search experiences • Streamlined end to end machine learning model deployment workflows, achieving a 15% reduction in inference time and improving model performance by 25% through feature engineering and hyperparameter tuning. • Conducted data-driven analysis and hypothesis testing to validate model assumptions and improve user engagement metrics, ensuring statistical significance in outcomes. • Created 15+ dynamic dashboards using Tableau and Python to visualize model performance and key business metrics, reducing stakeholder analysis time by 25% and improving transparency.