Seasoned Data Scientist with over 8 years of experience in the field. Specializing in Natural Language Processing (NLP) and Casual Inference.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amazon
Data Scientist
June 16, 2026 – Present
model-factory
July 11, 2025 – July 14, 2025
Your one-stop workshop for crafting and iterating on ML/DL models—covering everything from image-filter pipelines to language-generation transformers
View ProjectML-DL-Algorithms-From-Scratch
October 7, 2024 – October 14, 2024
This repository contains implementations of fundamental Machine Learning (ML) and Deep Learning (DL) algorithms from scratch using NumPy and PyTorch
View ProjectResearchFrontier
October 5, 2024 – October 6, 2024
This repository features a curated collection of cutting-edge machine learning research publications. Each paper reflects a significant advancement in ML, addressing complex problems, introducing novel methodologies, and pushing the boundaries of what's possible in artificial intelligence.
View ProjectOFF_nutrition_classification
October 2, 2024 – October 2, 2024
OFF_nutrition_classification — GitHub repository
View Projectreinforcement-learning-tutorial
September 8, 2024 – September 8, 2024
reinforcement-learning-tutorial — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing heavily on ML/DL algorithms and research. While this aligns with the technical aspects of a Data Scientist role, the lack of diverse project types (e.g., collaborative, production-oriented, business-impact focused) and limited information on team experience suggests a potential gap in cultural fit for a fast-paced, collaborative industry environment. The candidate's experience level is listed as 0, despite a current role at Amazon, which creates an inconsistency that impacts cultural fit assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.