Spandan Chakrabarty

Data Scientist

https://talent.gravityer.com/spandan-chakrabarty

CS @ UWaterloo

Member since June 29, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'f1-project' and 'personal-finance-tracker'.
Experience with Python for data science tasks, including LightGBM and FastAI.
Familiarity with MLOps components like FastAPI for model deployment.
Exposure to front-end technologies (React, TypeScript, CSS) for building user interfaces around ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, from web development to machine learning, suggests adaptability. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team environment. The target role is 'Data Scientist', and while several projects align with this, the overall breadth of technologies (including significant front-end work) suggests a broader interest that may need to be focused for a dedicated Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

wato_project

January 10, 2026 – Present

wato_project — GitHub repository

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sentiment-flow

December 30, 2025 – Present

sentiment-flow — GitHub repository

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ChessHacks

November 15, 2025 – November 16, 2025

ChessHacks — GitHub repository

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spandan3

October 22, 2025 – Present

spandan3 — GitHub repository

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HuntingExoPlanets

October 4, 2025 – October 5, 2025

HuntingExoPlanets — GitHub repository

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f1-project

August 10, 2025 – Present

A machine learning system that predicts F1 race results using historical data (2018-2025). Built with LightGBM, FastAPI, and Optuna, it provides pre-race predictions and updates after each race throughout the season.

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portfolio

August 4, 2025 – September 11, 2025

A modern, responsive developer portfolio built with React, TypeScript, and Tailwind CSS. Showcasing projects, skills, and resume in a clean UI.

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personal-finance-tracker

July 23, 2025 – July 24, 2025

AI-powered Personal Finance Tracker – Predicts transaction categories using a FastAI model, stores user data securely with Supabase, and provides a dynamic dashboard with visual spending analytics.

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smart-waste-classifier

July 14, 2025 – July 15, 2025

A smart waste classification app powered by a FastAI model. Upload an image to detect waste type (plastic, paper, metal, etc.) and get recycling tips. Built with Flask for the backend and React + Tailwind for the frontend.

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recipe-finder

January 6, 2025 – January 12, 2025

A Recipe Finder made with React.JS with FantaCSS & Spoonacular API

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'f1-project' and 'personal-finance-tracker'.
Experience with Python for data science tasks, including LightGBM and FastAI.
Familiarity with MLOps components like FastAPI for model deployment.
Exposure to front-end technologies (React, TypeScript, CSS) for building user interfaces around ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Spandan Chakrabarty

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit