Microsoft - Data Scientist (Intern) – Xbox Gaming
May 2024 – August 2024
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Conducted Game Pass Impact Analysis at Xbox, identifying declines
in purchases and predicting revenue loss using CausalML and Time
Series models.
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Trained predictive models to evaluate the treatment effect of Game
Pass availability and analyzed counterfactual scenarios with
T-learner for game releases.
George Washington University - Research Associate – Data Scientist
October 2023 – Present
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Collaborating with the Department of Geography on multiple data
science research projects, contributing to coding, data mining,
analysis, and model building to advance ongoing research
objectives.
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Member of a Coast Project team as a Data Scientist, with research
on Geospatial Climate Data of the Black Sea, and how changes in
climate reflect on Policies, Infrastructure, and Agriculture.
Cummins Inc. - Data Scientist – Advance Analytics Team
August 2021 – August 2023
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Successfully led a Fuel Cell Electrodes-Crack Classification POC,
achieving 88% accuracy with limited training data. Secured
additional funding for Manufacturing Image Analytics post-POC
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Collaborated with SMEs on an Oil Reset Detection model,
introducing 'Range Metric' with True/False positives, delivering
$500K savings in Q1. Maintained a steady 25% increase in cost
savings, enhancing Cummins' operational efficiency.
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As a Core Data Scientist, contributed to the Fuel Economy
Optimization project, with a business value of $250M. Used
clustering, regression, and similarity analysis to optimize
parameter combinations, establishing it as a key product for
Cummins.
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Contributed to a pioneering Reinforcement Learning project,
creating a synthetic environment to optimize manufacturing.
Adjusted prognostic model thresholds dynamically, enhancing both
manufacturing efficiency and customer impact
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Conducted Fuel Consumption Analysis to identify parameters
affecting engine fuel consumption. Provided valuable insights into
customer engagement and operational improvements
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Trained models in the service sector to understand parameter
correlations in the prognostics pipeline. Aimed at enhancing
predictive accuracy and operational decision-making within
Cummins.
Cummins Inc. - Data Engineer Intern - Advance Analytics Team
January 2021 – July 2021
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Received one month of training in Azure Cloud, Data-Bricks, Spark,
and Scala.
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Developed data processing scripts in Scala and Spark for
engine-generated data analytics.
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Worked as a Python developer on a real-time database app, focusing
on front-end and GUI using Tkinter for generative models.