Cooking Code @ Red Hat; Contributor @pandas-dev @numpy @scipy @scikit-learn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Redhat
Data Scientist
June 20, 2026 – Present
genai-llm-rag-pattern
February 21, 2024 – July 8, 2024
genai-llm-rag-pattern — GitHub repository
View Projecteagleeye
January 26, 2022 – February 8, 2022
A realtime ingestion and profiling engine for fast data.
View Projectnginx-gunicorn-fastapi
January 8, 2021 – February 15, 2021
A standard skeleton of a python machine learning project
View Projectpybandit-archive
February 10, 2020 – April 28, 2023
A Python library for all popular multi-armed bandit algorithms.
View Projectai-playground
October 1, 2019 – Present
I put all my exploration around AI in reproducible notebooks in this repository
View Projectrecsys-pgm
August 31, 2018 – November 15, 2019
A Probabilistic Graphical Model based Recommender System
View Projectimdb-rec-sys
November 10, 2017 – July 6, 2024
I want to crawl imdb movie data and want to recommend movies based on various features of individual movies
View ProjectMXNetDemystified
October 23, 2017 – May 5, 2024
Leveraging MXNet to solve interesting problems in Data Science using Deep Learning
View Projectdeeplearning
August 15, 2017 – August 21, 2017
Trying to build several model using deep learning mainly in text mining and time series analysis domain
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in self-driven learning and exploration within Data Science. However, the lack of diverse team projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit for collaborative environments. The single listed professional experience is current and recent, offering limited historical context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.