Abhinav Rawal
Data ScientistChandigarh, IndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mountain_Guardian_Backend
September 18, 2023 – September 19, 2023
Mountain_Guardian_Backend — GitHub repository
View ProjectMicro-Frontend
July 23, 2023 – August 10, 2023
Micro Frontend PoC application made in React using Module Federation and NestJS
View ProjectCompetitive-Programming
December 24, 2022 – April 6, 2025
Competitive-Programming — GitHub repository
View Projectslowmokit
December 10, 2022 – March 29, 2023
Library which can be used for machine learning in C++.
View ProjectCoding-contests
November 15, 2022 – January 14, 2025
Explanation, codes and Problem Statement of Contest/Events conducted by PEC ACM.
View ProjectML-Weekly-Challenges
November 5, 2022 – November 9, 2022
Repository containing solution notebooks for each of the ML weekly challenges conducted by ACM CSS ML subgroup
View Projectcoderecs
May 31, 2022 – July 29, 2022
Coderecs is a competitive programming platform, which recommend the users to solve the next cp questions, based on their previous performance, in the contests.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards competitive programming and personal learning initiatives. The 'coderecs' project, which recommends competitive programming questions, indicates an interest in data-driven solutions. However, the projects are predominantly personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit beyond individual drive. The breadth of technologies used (Python, C++, JavaScript, Rust) suggests adaptability, but the depth of application in a data science context is not fully clear from descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.