About

Contact

Education

  • Master of Data Science, The University of British Columbia (Sep 2024 – Jun 2025)
  • B.E in Computer Engineering, K. J. Somaiya Institute of Technology (Aug 2020 – May 2024)
  • Honours in Data Science, K. J. Somaiya Institute of Technology (Aug 2022 – May 2024)

Work Experience

Heron Law Offices Logo

Data Science Intern

Heron Law Offices, Vancouver (Apr 2025 – Jun 2025)

  • Developed a Streamlit + Plotly dashboard to visualize IRCC litigation and inadmissibility data, improving transparency in legal decisions.
  • Conducted statistical testing and EDA using R to uncover trends in immigration outcomes.
  • Built a hybrid NLP pipeline (LLaMA 3 + rule-based) to classify court metadata with 85% accuracy.
  • Collaborated with legal experts to communicate insights clearly to non-technical audiences.


SIRAC Logo

Research Intern

SIRAC – Somaiya Institute for Research and Consultancy, Mumbai (Jan 2023 – Jul 2024)

  • Created a custom dataset of 75,000+ farm plots using OpenCV and stored it in DynamoDB.
  • Built a YOLOv8-based model (PyTorch) to extract field boundaries, digitizing 100,000+ plots.
  • Reduced mapping time and manpower by 50% using AI automation.
  • Developed a Flutter Android app enabling 92 field supervisors to map farms independently.
  • Co-authored a review paper on field-boundary extraction (under review).

Community Involvement

Azure Developer Community Logo

Mentor

CloudML Discovery Series — Azure Developer Community (Jun 2024)

Delivered sessions on AI/ML using Microsoft Azure; demonstrated real-world implementations with PyTorch, scikit-learn, and NLP libraries.

Skills

Programming Languages
  • Python
  • R
  • SQL
  • PySpark
Machine Learning & AI
  • Supervised & Unsupervised Learning
  • Deep Learning (CNNs, RNNs)
  • Feature Engineering
  • Model Optimization
  • LLM
  • Fine-tuning
Statistics
  • Descriptive & Inferential Statistics
  • Hypothesis Testing
  • Probability Distributions
  • A/B Testing
Soft Skills
  • Critical Thinking
  • Strategic Thinking
  • Adaptability
  • Presentation & Communication
  • Collaboration & Problem-Solving
Data Processing & Analysis
  • Data Cleaning & Wrangling
  • ETL Pipelines
  • Exploratory Data Analysis
  • Data Visualization
Libraries & Frameworks
  • pandas & NumPy
  • matplotlib, Altair & Plotly
  • tidyverse, ggplot
  • scikit-learn & XGBoost
  • PyTorch, TensorFlow
  • NetworkX
  • Dash & Streamlit
Development Tools
  • Git
  • Docker
  • Flask
  • Flutter
  • MongoDB
  • AWS & Azure
  • CI/CD (GitHub Actions)
  • Poetry
  • pytest
  • Makefile