Sanket Vagal

Full Stack Developer | Data Analyst | Machine Learning Engineer

Master's in Applied Computer Science @ St. Francis Xavier University, Canada

About Me

Education

Master of Applied Computer Science

St. Francis Xavier University, Canada

GPA: 87.80/100

Sep 2022 – May 2024

Achievements

  • • Top 5 Finalist - Atlantic Canadian Programming Contest
  • • Published research on AI-based pest detection
  • • Multiple hackathon participations with MLH
  • • Graduate Teaching Assistant for AI & Security courses

Experience

Graduate Teaching Assistant - Artificial Intelligence

St. Francis Xavier University

Jan 2024 – Apr 2024
  • Automated grading with Python scripts, reducing time by 40%
  • Analyzed student performance data using Pandas and Matplotlib
  • Collaborated with Department Chair to enhance course delivery

Graduate Teaching Assistant - Computer & Network Security

St. Francis Xavier University

Sep 2023 – Dec 2023
  • Created Tableau visualizations for student performance analysis
  • Implemented automated grading system, reducing time by 30%
  • Supported 40+ students with comprehensive feedback

Technical Skills

Languages

PythonJavaJavaScriptKotlinCC++

Web Tech

HTMLCSSReactDjangoFlaskNode.jsREST API

ML/AI

TensorFlowKerasscikit-learnNumPyPandasOpenCV

Tools

GitDockerGitHub ActionsJupyterTableauAndroid SDK

Featured Projects

Portfolio Website

Modern, responsive portfolio website built with Next.js and Tailwind CSS, featuring smooth animations and interactive components

May 2025 – Present

Next.jsReactTailwind CSSJavaScript

React Projects Collection

Series of hands-on projects including markdown-based notes app, interactive meme generator, and Tenzies game, demonstrating proficiency in React components and state management

Jul 2023 – Aug 2023

HTMLReactJavaScriptCSSVite

Toxicity Prediction Challenge II

Implemented a LightGBM-based machine learning model with 82.28% F1 score to predict chemical toxicity for drug discovery and safety assessment

Jan 2023 – Apr 2023

Pythonscikit-learnRDKitLightGBMDocker

E-Commerce Database System

Developed an E-commerce application comparing SQL and NoSQL Databases through requirement gathering, schema design, and data ingestion

Sep 2022 – Dec 2022

MySQLMongoDBMongoDB Compass

Travel & Entertainment Search

Responsive web application serving as a guide to nearby places with detailed information, pictures, map navigation, reviews, and social media integration

Jan 2019 – Mar 2019

HTMLCSSPHPJavaScriptBootstrapGoogle Places APITwitter API

React Fitbit Dashboard

Interactive dashboard visualizing activity metrics with real-time health insights using Fitbit API

May 2024 – Aug 2024

JavaScriptReactOAuth2 PKCEChart.js

Custom Android ROM Development

Custom ROM based on AOSP to revive outdated smartphones with system optimizations

Jan 2024 – Mar 2024

AOSPAndroid SDKLinuxKernel Modifications

Room Type Image Classification

Deep learning model achieving 84.7% accuracy on ResNet50V2 for room image classification

Jan 2023 – Apr 2023

PythonKerasTensorFlowTransfer Learning

Farmatron - AI Pest Detection Drone

AI-powered plant disease detection with 83% precision, deployed on Raspberry Pi with web interface

Jul 2019 – Mar 2020

PythonTensorFlowDjangoRaspberry Pi

Let's Connect

I'm always interested in new opportunities and collaborations

Feel free to reach out through any of these channels