Software engineer with excellent analytical and quantitative skills developed through courses in Machine Learning, Data Structures & Algorithms, Statistical Inference, Computational Statistics & Probability, ODEs/PDEs, and Investments, among others.
Contributed feature additions, enhancements and bug-fixes to enterprise standard libraries (python based) that support model developers across the firm, achieved AWS Solutions Architect Certification
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Recognized as one of Capital One’s top open source contributors via the Rubicon-ml library (ML workflow tool)
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Produced idea to train incoming ML engineers on the team’s enterprise ML tools to increase utilization and meet team goals for tool adoption, thus helping get ML models to market faster (600+ developers trained to date)
2nd rotation in Finance Data & Innovation Strategy (Aug '23 - March '24)
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Created an automation script to parse dataset intake forms and produce config and other pipeline files to save developer time during legacy application decommissioning and data pipeline migration to a modernized python ETL pattern
3rd Rotation in Enterprise Data Tech - Databricks Platform Team (March '24 - present)
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Writing SQL queries and python job scripts for a platform health metrics dashboard (for leadership to quickly view compute costs, usage, platform health, etc of the internal Databricks environment)
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Learning to use terraform for cloud infrastructure and resource management of Databricks at Capital One
Analyzed earnings reports and helped create an excel valuation for a distressed debt investment for a distressed credit and special situations hedge fund (5 weeks)
Analyzed customers’ clinical and lifestyle survey data in R to produce insights that sparked discussion on product procedure and customer trends.
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Transformed the startup’s online marketing and increased paid search sales by 5x, ad impression share by 4x, top of page rate by 3x, and click through rates by 2x through implementing Search Engine Optimization for Google ads and website
