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About me



  • 2022 - 2022
    BlueLinx Corporation, Atlanta, Georgia

    Machine Learning Engineer Intern

    • Applied Machine Learning and Python for K-means clustering in sales data, reaching 97% accuracy in customer
    segmentation and aiding 10% sales growth.
    • Forecasted sales using Random Forest Regressor and Holt-Winters Additive Method, leading to 94% accurate
    • Drove predictive modeling and analysis with Machine Learning techniques like Random Forest and Decision Trees.
    • Created interactive Power BI and Tableau dashboards to monitor outages, improving cost efficiency and
    • Used DAX in Power BI for advanced data visualizations to support decision-making.

  • 2019 - 2020
    Central Quality (Axles), Chennai, India

    Management Trainee, Ashok Leyland

    • Led a team of 10 people in maintaining quality of axles, both rear axle and front axle.
    • Prepared, maintained and sustained various control charts i.e., P- Chart and U- Chart.
    • Optimized design and simulations with Ansys, CATIA and SolidWorks and found, standard amount of grease is enough for controlling wear and tear of material.

  • 2023 - Present
    GamePlay Inc., San Francisco, CA

    Machine Learning Engineer Intern

    • Implemented Machine Learning algorithms with OpenCV and Convolutional Neural Networks, achieving 95% model
    accuracy and 15% user acquisition increase for GamePlay Inc.
    • Designed AI systems for predictive modeling using Python, improving gameplay by predicting user preferences.
    • Handled data preprocessing and trained ML models with Pandas, NumPy, and TensorFlow, boosting predictive
    capabilities and engagement.
    • Transformed unstructured data into actionable insights using SQL and Python, enabling enhanced data visualization
    • Developed data marts and warehouses with Kimball’s dimensional modeling in Postgres, ensuring accurate data