Education
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2021 - 2023
University at Buffalo, The State University of New York
Master of Science, Engineering Science (Robotics)
Focussed on Machine Learning and Data Science
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2015 - 2019
Anil Neerukonda Institute of Technology and Sciences
Bachelor of Science, Mechanical Engineering
GPA: 3.17/4.0
Experience
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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
forecasts.
• 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
distribution.
• 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
features.
• Developed data marts and warehouses with Kimball’s dimensional modeling in Postgres, ensuring accurate data
models.