
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@eka.care
As a Data Scientist and an undergraduate student at IIIT Naya Raipur specializing in AI, I am passionate about leveraging technology to solve real-world problems, with a current focus on transforming Indian healthcare. Currently at Eka Care, I am working at the forefront of healthcare AI. I have developed a robust pipeline for parsing complex medical reports, making critical health data more accessible. I also built "Karma," a specialized library for evaluating the performance of Large Language Models (LLMs). My work now involves creating Automatic Speech Recognition (ASR) models for diverse Indian languages and fine-tuning LLMs to meet the unique challenges of the Indian healthcare system.
IIIT-Naya Raipur
Bachelor of Technology - BTech, Data Science and Artificial Intelligence
December 1, 2020 – June 1, 2024
Sri Chaitanya College of Education
Intermediate, MPC
April 1, 2018 – March 1, 2020
eka.care
Senior Data Scientist
April 1, 2026 – Present
eka.care
Data Scientist
July 1, 2024 – April 1, 2026
eka.care
Data Science Intern
February 1, 2024 – June 1, 2024
RMIT School of Engineering
AI Intern
September 1, 2023 – December 1, 2023
Remote
University of Louisville
Research Intern
April 1, 2023 – July 1, 2023
Remote
KU Leuven Faculty of Engineering Technology
Research Intern
March 1, 2023 – September 1, 2023
Nikola Charging
Machine Learning Engineer
December 1, 2022 – February 1, 2023
Remote
Cultural Fit Analysis
The candidate has diverse internship experiences across different institutions (RMIT, University of Louisville, KU Leuven, Nikola Charging), suggesting adaptability. The progression within eka.care indicates commitment. However, the target role is ML Engineer, and while the candidate has ML experience, the primary recent roles are Data Scientist. This suggests a partial fit, requiring validation of ML engineering depth.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.