
An Aerospace engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT Madras
Data Scientist
June 16, 2026 – Present
spinify_frontend_netlify
July 7, 2025 – July 8, 2025
spinify_frontend_netlify — GitHub repository
View Projectcodersquest_parking_system_ruby_solved
March 8, 2025 – March 8, 2025
codersquest_parking_system_ruby_solved — GitHub repository
View Projectcodersquest_challenges_boilerplate_code
March 8, 2025 – March 8, 2025
codersquest_challenges_boilerplate_code — GitHub repository
View Projectcodersquest_asset
January 6, 2025 – January 6, 2025
codersquest_asset — GitHub repository
View Projectweather_forecast_rails_web_app
May 1, 2024 – May 3, 2024
Web application to get weather forecast by proving a address.
View Projectlive-log-reader-with-websocket-on-rails
February 3, 2024 – February 3, 2024
live-log-reader-with-websocket-on-rails — GitHub repository
View Projectstock-matching-in-ruby-low-level-design-solution
January 24, 2024 – January 24, 2024
stock-matching-in-ruby-low-level-design-solution — GitHub repository
View ProjectRetrained-YOLO-weights-to-detect-book-code-
May 14, 2020 – May 20, 2020
The repo includes an Custom Object Detection using YOLO and Darkflow.
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse interest in various programming languages (Ruby, JavaScript, Java) and web development, alongside a specific data science project. This breadth suggests adaptability, but the primary focus on web development might indicate a less concentrated passion for data science compared to a candidate with a more extensive portfolio in the field. The current role as 'Data Scientist' at IIT Madras aligns well with the target role, but without further details on responsibilities, it's hard to gauge the depth of cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no actionable insights.