Hello there!

A debate started with three dashboards and no agreement. I pulled the sources into one reproducible pipeline and one honest chart. The debate ended; the team aligned on the first fix. That’s my north star: reliable data, simple communication, practical action.
  • 500k+ multi-source records standardized into one model
  • ~60% faster prep via streamlined ETL & automated validation
  • +25% improvement in clinical-text extraction accuracy with LLM-assisted QA

Education

University of Arizona logo
Master of Science, Data Science Tucson, AZ · Dec 2023 · GPA: 4.0/4.0
Selected courses
  • Machine Learning & Predictive Modeling
  • Data Analysis and Visualization
  • Data Mining and Discovery
  • Artificial Intelligence
  • Natural Language Processing
  • Database Development and Management
Focus
Applied Machine Learning, Statistical Inference, and Data-Driven Decision Science across diverse industries.
Capstone
Phenophase Image Analysis (ResNet-50 + GANs) → Boosted classification accuracy through synthetic data generation.
Recognition
GPA 4.0/4.0
University of Engineering and Management logo
Bachelor of Technology, Electrical Engineering Jaipur, India · May 2017 · GPA: 7.66/10 (magna cum laude)
Representative courses
  • Signals & Systems; Control Theory
  • Digital Logic & Microprocessors
  • Power Systems & Machines
  • Numerical Methods; Probability & Stats
  • Programming (C/C++), MATLAB
Theme
Systems thinking → transition to data science
Honors
Magna cum laude


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