Aarthi Ashokan

Senior Data Scientist

Secaucus, New Jersey, United States
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Summary

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Senior
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Top School
Aarthi Ashokan is a Senior Data Scientist with three years of focused experience building predictive models, feature engineering pipelines, and production-ready analytics in Python. She has applied advanced statistical techniques across finance and payments domains, most recently at JPMorgan Chase following work at Fiserv where she led macroeconomic forecasting, synthetic data generation, fraud analytics, and LLM-driven reporting. Her background blends academic research in experimental characterization and mathematical modeling from IIT Madras with practical test-engineering and performance profiling experience from Infosys, giving her a strong foundation in both experimental design and production stability. Comfortable with scikit-learn, numpy, pandas and end-to-end deployment, she bridges rigorous statistical thinking with pragmatic engineering. Based in Secaucus, NJ, she combines a systems-engineering MS from Rutgers with a chemical engineering bachelor’s, a mix that informs her methodical approach to complex data problems. Colleagues value her ability to translate deep research instincts into scalable, business-facing ML solutions.
code3 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree, Chemical Engineering, 8.93, Bachelor's degree, Chemical Engineering, 8.93 at St. Joseph's College Of Engineering
bookMaster of Science - MS, Industrial and Systems Engineering, Master of Science - MS, Industrial and Systems Engineering at Rutgers University
languagesEnglish, Hindi, Tamil, Kannada
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Github Skills (4)

digit9
python5
machine-learning4
computer-vision4

Programming languages (1)

Jupyter Notebook

Github contributions (2)

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A Novel Method for Handwritten Digit Recognition System
Contributions:16 commits, 16 pushes in 25 days
pythondigithandwritten-digit-recognitionmethodrecognition
Aarthi-Ashokan/Aarthi

Oct 2022 - Oct 2022

Contributions:1 branch in 1 day
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Aarthi Ashokan - Senior Data Scientist