Chinmay Kunkikar
Data Scientistproduct, pixels, performance.
Airtribe
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
product, pixels, performance.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Airtribe
Data Scientist
June 20, 2026 – Present
pika
April 22, 2026 – Present
Local-first developer tool that indexes icons and images, surfaces duplicates, and dispatches cleanup plans to a coding agent.
View Projectwanderlust
October 18, 2023 – June 21, 2025
WanderLust is a MERN travel blog website 🚀 This project is aimed to help people to contribute in open source, upskill in react and master git.
View Projecturl-shortner
October 16, 2022 – October 30, 2022
A link shortner made using ExpressJS, ReactJS, and MongoDB.
View Projectvide-amplify
May 5, 2021 – January 22, 2023
VOD platform built using ReactJS and managed on AWS. An HLS Adaptive Bitrate stack is encoded using FFMPEG.
View Projectportfolio
July 25, 2020 – Present
:sparkles: My portfolio built with Next.js, Tailwind, and Vercel.
View Projectgenerate-graph-json
May 8, 2020 – May 9, 2020
Input information (like id, label, latitude, and longitude) and generate the data in JSON Graph Format
View ProjectUDCS-Assignments
September 4, 2019 – September 27, 2019
Lecture assignments solutions during my MSc
View Projecthackintosh
January 9, 2019 – November 5, 2023
Personal experience with hackintosh and the EFI partition that made it through.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a breadth of technical interests, including web development (MERN stack, Next.js), CLI tools, and multimedia platforms. While this shows versatility, the majority of projects are not directly aligned with core data science methodologies (e.g., statistical modeling, advanced machine learning, data engineering pipelines). The 'UDCS-Assignments' and 'picpocket' projects are the most relevant. The current Data Scientist role indicates direct alignment, but without further details on responsibilities, it's hard to gauge the depth of fit. The overall project diversity suggests a generalist profile rather than a deep specialization in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data focuses on technical projects and a single work experience entry without detailed responsibilities or team interactions.