High performing data science professional 📊 with over 3 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 Scienctist @ Lowes Companies Inc 🏠
Data Science Intern @ Lowes Companies Inc 🏠
Data Scientist - III @ Protiviti India Member Firm 🏢
Data Science Researcher @ Stones2Milestones Edu Services 🏫
- AZ-900: Azure Cloud Fundamentals
- Google Data Analytics Specialization
Stack: Python, PyTorch, Gymnasium
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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. 🐍🤖🏆
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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
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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.
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Preprocessed imbalanced flight data using SMOTE oversampling before training Random Forest models to optimize performance and reduce prediction error compared to baseline models.
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