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🚀 MBA + Computer Science graduate bridging business strategy and technical implementation. 🤖 Specialized in Agentic AI and RAG pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SOP-BRD-Automation-using-Gen-AI-
April 21, 2026 – Present
This comprehensive repository outlines how to build a "Digital Site Manager" using a no-code approach. This system automates the creation of Standard Operating Procedures (SOPs) and provides an AI-powered assistant to break down information silos in the construction industry .
View ProjectOptimizing-IPL-Auctions-using-Gen-AI-ML-
March 26, 2026 – Present
Optimize your IPL 2026 strategy with this AI-driven "War Room." This repository implements the CoRea framework to revolutionize player valuation. Leveraging Ensemble Learning (97% accuracy for bowlers) and PyTorch-based 1D-CNNs, the system identifies "Hidden Gems" while neutralizing the "Winner’s Curse."
View ProjectTime-Series-Analysis---ScreenTime-Analyis-to-analyse-Social-Media-Traffic
January 15, 2024 – January 15, 2024
Time-Series-Analysis---ScreenTime-Analyis-to-analyse-Social-Media-Traffic — GitHub repository
View ProjectCredit-Card-Detection
February 14, 2023 – February 14, 2023
Credit-Card-Detection — GitHub repository
View ProjectAI-Image-colorizer
April 20, 2022 – March 29, 2024
AI-Image-colorizer — GitHub repository
View ProjectOnline-Shopping-Inventory-Management
April 6, 2022 – May 9, 2022
Online-Shopping-Inventory-Management — GitHub repository
View ProjectAI-Assistant-Jarvis
January 18, 2022 – January 18, 2022
Software for Assistant to be run on PC
View ProjectCredit-Card-Fraud-detection
November 28, 2021 – February 21, 2022
Credit-Card-Fraud-detection — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards AI/ML and Data Science, aligning well with a Data Scientist role. The diversity of personal projects, from sports analytics to fraud detection and automation, suggests a proactive and curious individual. The use of Jupyter Notebooks in several projects indicates a practical, hands-on approach to problem-solving. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conceptualize and execute AI/ML solutions. However, without psychometric test results or interview data, it is not possible to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration.