// hi, my name is
MS Data Science @ GWU. I build machine learning systems, data pipelines, and research tools. Currently a Data Science Research Specialist at the GWU Regulatory Studies Center.
01. open-source & publications
// open-source contributions
Contributor to the flagship RegStats repository — building Python and RShiny scripts, automated data pipelines, and dashboards that power regulatory research at GWU.
github.com/regulatorystudies// publications
An analysis of the second Trump administration's regulatory activity during its first year, using the RegStats data infrastructure to track and visualize rulemaking trends.
read publication02. experience & education
GWU Regulatory Studies Center
Data Science Research Specialist
Building scripts, dashboards, workflows using Python for the flagship Reg-Stats repository.
GWU Institute of Public Health
Teaching Assistant — Analysing Data with R
Assisted in teaching the graduate-level R course for a class of 20 students. Course page ↗
George Washington University
M.S. Data Science · GPA 3.8/4.0
Global Leaders Award ($17,100). Courses: Stochastic Calculus, Deep Learning, Data Warehousing, Data Visualization.
Xu Lab, Carnegie Mellon University
Research Intern
Reduced space and time requirements for 3D cell mapping through hyperparameter tuning — 15% efficiency boost.
Indian Institute of Technology
Medical Research Intern
Developed an Unsupervised Source-free Domain Adaptation model for early pneumonia detection in MRI and CT scans.
AVM Constructions
Data Engineer
Implemented Linear Regression algorithm on Pune house price dataset to make price prediction model to assist operations research
Savitribai Phule Pune University
B.E. AI & Data Science · GPA 3.72/4.0
Courses: Statistics, Machine Learning, Reinforcement Learning, Pattern Recognition, Data Structures & Algorithms.
03. projects
Multimodal deep learning framework that combines financial time series data with natural language sentiment
source
Vector-based NLP recommendation engine over 5000+ IMDB movies using NLTK.
source
Interactive Python implementation of the Black-Scholes options pricing model with live demo.
source04. skills