High performing data science professional 📊 with over 2 years of experience in the analytics and data science domains. Proven track record in statistical modeling, machine learning and developing production-ready 🏭 ML models. Specialized in communicating complex technical concepts and translating analytics into business value 💵 across diverse stakeholders.

Data Science Intern @ Lowes Companies Inc 🏠

Data and Analytics Consultant @ Protiviti India Member Firm 🏢

Data Science Researcher @ Stones2Milestones Edu Services 🏫

• AZ-900: Azure Cloud Fundamentals
• Google Data Analytics Specialization

Stack: Python, PyTorch, Gymnasium

• Developed deep neural network agent using PyTorch to play classic Snake game, leveraging algorithms including DQN, Double DQN, and A2C to optimize policy. Achieved score 10x higher than baseline agent. 🐍🤖🏆

• Engineered features and reward functions enabling agent to master Snake game environment. Compared performance of DQN, DDQN, and A2C algorithms in optimizing gameplay policy, identifying most effective techniques.

Stack: Python, SQL, REST API

• Built a two-stage machine learning model using Random Forest algorithms for classification and regression to predict flight arrival delays, achieving an F1 score of 0.78 and RMSE of 11.28 minutes. ✈️⌚📈

• Preprocessed imbalanced flight data using SMOTE oversampling before training Random Forest models to optimize performance and reduce prediction error compared to baseline models. ✈️📉📈