Data Analyst || Artificial Intelligence || Machine Learning || Fullstack Developer || Prompt Engineer
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Vehicle_Detection_System
April 22, 2026 – Present
A professional-grade Vehicle Detection and Counting System built with Python, OpenCV, and YOLOv8 for real-time traffic analysis.
View ProjectSales-Performance-Dashboard
January 20, 2026 – Present
A comprehensive end-to-end data analytics project demonstrating SQL, Python, Tableau, and Excel automation skills
View ProjectAttendence-Tracker-Application
January 9, 2026 – Present
A comprehensive web-based attendance tracking application built with Python, Flask, and SQLite. This system enables efficient student attendance management with automated percentage calculations and detailed report generation.
View ProjectGreenMart-Grocery-Delivery-Application
January 8, 2026 – Present
GreenMart-Grocery-Delivery-Application — GitHub repository
View ProjectJane_AI_Virtual_Assistant
November 30, 2025 – November 30, 2025
Jane AI is a modern, fast, and interactive AI virtual assistant designed to help users perform tasks, interact via chat, and showcase advanced UI & frontend integration techniques.
View ProjectUniconnect-Student_Connectivity_Platform
November 17, 2025 – November 28, 2025
A modern, responsive platform connecting global university students for education, collaboration, and innovation.
View ProjectAnalystic_Dashboard
September 3, 2025 – September 3, 2025
Analystic_Dashboard — GitHub repository
View ProjectHouse-Price-Prediction
August 9, 2025 – September 23, 2025
This project predicts house prices based on property features using Machine Learning.
View ProjectRandom-Forest-Classifier
August 8, 2025 – August 9, 2025
The Random Forest Classifier is a supervised machine learning model built using Python’s scikit-learn library.
View ProjectK-Means-Clustering
August 8, 2025 – August 10, 2025
This project implements K-Means Clustering using the classic Iris dataset.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and development in data science and machine learning. The diversity of projects, from AI assistants to web applications, indicates a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The target role is Data Scientist, and while many projects align, the absence of real-world application or team context limits the assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style.