
"With four parameters I can fit an elephant and with five I can make him wiggle his trunk." - John von Neumann
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIITD
Data Scientist
June 18, 2026 – Present
UnRAvEL
April 21, 2022 – December 10, 2025
Official implementation of Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability.
View ProjectApplications-of-GMM-in-XAI
December 13, 2021 – July 12, 2022
Applications-of-GMM-in-XAI — GitHub repository
View ProjectA2OJ-ladders-in-Java
August 19, 2021 – September 1, 2021
A2OJ-ladders-in-Java — GitHub repository
View ProjectPneumonia-classification-using-chest-X-ray-Images
June 27, 2021 – March 15, 2022
Pneumonia-classification-using-chest-X-ray-Images — GitHub repository
View ProjectQuantitative-Biology
July 8, 2020 – October 29, 2021
Quantitative-Biology — GitHub repository
View ProjectMachine-Learning-Resources
April 14, 2020 – October 4, 2023
A repository containing useful stuff for an aspiring Machine Learning enthusiast. Useful PRs are appreciated.
View ProjectFPGA-programming-using-Verilog
September 20, 2019 – February 23, 2020
FPGA-programming-using-Verilog — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and research-oriented topics in Machine Learning and Quantitative Biology. The current role as 'Data Scientist' at IIITD aligns with the target role. However, the projects are all personal GitHub repositories, and there is no information on collaborative work or contributions to larger open-source projects, which limits the assessment of cultural fit in a team environment. The breadth of skills is present, but depth in specific data science tools beyond Python/Jupyter Notebook is not explicitly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.