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Oracle
Data Scientist
June 12, 2026 – Present
ai-equity
February 22, 2026 – Present
AI-Native Equity Research Platform: Autonomous Financial Intelligence and Decision Support System using Large Language Models (LLMs)
View ProjectDevSecOps-CICD
April 11, 2025 – June 5, 2025
DevSecOps: Industry standard CICD pipelines for simple websites
View ProjectHPE-grpc
February 4, 2025 – May 9, 2025
HPE Career Preview Program Repository for gRPC configuration for VASA/vVols
View ProjectLibraryManagementSystemGitProject
December 30, 2024 – January 8, 2025
LibraryManagementSystemGitProject — GitHub repository
View Projectsocket-io-learn
September 19, 2024 – September 19, 2024
socket-io-learn — GitHub repository
View ProjectPhishing_Detection_Using_RandomForest_Algorithms
June 6, 2024 – March 7, 2025
Phishing URL Detection Using RandomForest. This project aims to detect phishing URLs using a RandomForest classifier. The process involves two main steps: feature extraction from URLs and prediction using a custom trained RandomForest model.
View Projectconfetti
May 9, 2024 – October 25, 2024
A fully fledged working college confession website using mern stack.
View Projecttext-extraction
August 27, 2023 – September 2, 2023
This Python project leverages the power of Keras OCR to extract text from images. This project provides a convenient and efficient solution. Keras OCR is a deep learning-based optical character recognition (OCR) library that allows you to recognize and extract text from images.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from web development to AI/ML and system-level programming. This breadth could indicate adaptability and a willingness to explore different domains. However, the projects are primarily personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit in a team-oriented professional environment. The target role is Data Scientist, and while some projects align, the overall portfolio is quite broad, suggesting a potential need to focus more deeply on data science specific challenges.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.