Summary

Data Scientist and Full-Stack Software Engineer with expertise in time-series forecasting, machine learning, and building scalable systems. Currently pursuing MS Computer Science at UC Riverside.

Education

• Computer Science

  2027-03
  University of California, Riverside
• Computer Science

  2023-04
  Indian Institute of Technology, Bombay

Work Experience

• Data Scientist

  2023-08 - 2025-08
  Finarb.ai

  • Implemented and benchmarked statistical forecasting models (SARIMA, VAR, Facebook Prophet) and deep learning approaches (LSTMs, Temporal Convolutional Networks) for pharmaceutical supply chain nodes, achieving 90% reduction in Mean Absolute Percentage Error over baseline methods
  • Performed comprehensive time-series diagnostics using autocorrelation plots, stationarity tests, and residual analysis; engineered lagged and augmented data using exogenous features to enhance model predictive power
  • Developed end-to-end forecasting pipeline with data preprocessing, feature engineering, model selection, and Docker-based containerization for reproducible deployment
  • Built AI Agents for feature engineering via RAG, cross-database natural language queries with SQL/Python code generation, and automated business dashboard creation with KPIs
  • Performed data preparation and analysis for business usecases using optimized SQL scripts; developed comprehensive Power BI dashboards for analytics and leadership insights

Skills

Publications

• Paper Title Number 1

  2009
  Journal 1

  This paper is about the number 1. The number 2 is left for future work.

  View Publication
• Paper Title Number 2

  2010
  Journal 1

  This paper is about the number 2. The number 3 is left for future work.

  View Publication
• Paper Title Number 3

  2015
  Journal 1

  This paper is about the number 3. The number 4 is left for future work.

  View Publication
• Paper Title Number 4

  2024
  GitHub Journal of Bugs

  This paper is about fixing template issue #693.

  View Publication

Presentations

• Online Competing and Development Environment

  2020
  IIT Bombay, Advisor: Prof. Amitabha Sanyal

  Mumbai, Maharashtra, India

  Built and deployed a browser-based virtual Linux environment for cross-platform code compilation with Django backend and Bootstrap frontend. Added support for multiple languages (C++, Java, Python) and implemented timed online competitions with automated grading.
• Restaurant Management System

  2023
  IIT Bombay, Advisor: Prof. S. Sudarshan

  Mumbai, Maharashtra, India

  Developed a full-stack React–Node.js web app with REST APIs to manage reservations, menu, orders, and billing. Created role-based dashboards and analytics tools for real-time restaurant operations and business insights.
• Movie Recommendation System

  2022
  IIT Bombay, Advisor: Prof. Abir De

  Mumbai, Maharashtra, India

  Built a hybrid recommender using collaborative and content-based filtering with deep autoencoders (PyTorch). Engineered user–movie features to improve RMSE through multi-layer neural network tuning.