Arindam Roy Chowdhury

Intern

New York, New York, United States1 yr experience

Key Highlights

Expert in stochastic optimization and uncertainty quantification.
Developed innovative solutions for Capital One and NASA.
Strong programming skills in Python and MATLAB.

Stackforce AI infers this person is a Data Scientist with expertise in optimization and machine learning in the Fintech and Aerospace sectors.

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Skills

Core Skills

OptimizationPythonDecision Trees

Other Skills

A/B TestingC (Programming Language)Data ScienceMATLABMachine LearningMathematicsPattern RecognitionQuantitative FinanceRStatistical ModelsStatisticsUncertainty Quantification

About

Hi! I’m a fourth-year PhD student working on stochastic optimization and uncertainty quantification — building methods that stay reliable when data or environments shift. I’ve also worked on applied projects at Capital One and NASA. Outside of research, I enjoy chess, table tennis and puzzles.

Experience

Analytical mechanics associates

Intern (NASA Langley Research Centre)

Jun 2024 – Aug 2024 · 2 mos

Formulated an optimization framework for modeling multivariate dependencies in flight data.
Developed a Python package for internal use and initiated MATLAB implementation.
Created an estimation method utilizing non-normalized statistical models to enhance data analysis.

OptimizationPythonMATLABStatistical Models

Capital one

2 roles

Associate

Jul 2021 – Jul 2022 · 1 yr · Bengaluru, Karnataka, India

Data Science Intern

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka, India

Developed a procedure for building decision tree classifiers with missing data, designing tailored treatments for different types of missingness, and implemented the method as a user-friendly Python tool — work contributed to a filed patent.

Decision TreesPython