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Enthusiastic Data Science student passionate about extracting insights from data.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fitness-Detector-Assistant
January 24, 2026 – Present
The Fitness Detector Assistant is an intelligent application that predicts a user’s fitness status using health-related data such as age, height, weight, and BMI. It combines machine learning models for accurate prediction with a Large Language Model (LLM) .
View ProjectAI-Powered-Semantic-Product-Search
January 16, 2026 – Present
AI-Powered-Semantic-Product-Search — GitHub repository
View Projectml-project
November 25, 2025 – Present
A comprehensive Machine Learning practice repository demonstrating core algorithms, preprocessing techniques, and evaluation methods implemented in Python
View ProjectPython-Data-Analysis-Projects
September 30, 2025 – September 30, 2025
Collection of Python data analysis projects using Pandas, Numpy, Matplotlib ,and Seaborn.
View ProjectEmployee-Attrition-Report
September 28, 2025 – Present
A Power BI project that explores employee attrition patterns from the IBM HR dataset. Highlights attrition rate, overtime effect, tenure impact, and departmental trends to help HR improve retention strategies.
View ProjectSales-Analysis-Dashboard
December 31, 2024 – Present
A React.js-based web application that integrates a Power BI dashboard for comprehensive sales analysis. The project includes login and sign-up functionality for secure access and showcases interactive visualizations of key business metrics. Built with a focus on user-friendly design and real-time insights.
View ProjectEmotion-Detection-Classification
September 10, 2024 – July 5, 2025
Identify and classify emotions with precision. Features include real-time detection, emotion classification, and insightful analysis.
View ProjectToDoList
August 9, 2024 – September 13, 2024
Easily manage your tasks with options to add, edit, update, and delete. Stay organized and in control.
View ProjectCultural Fit Analysis
The candidate shows initiative through a variety of personal projects, indicating a self-starter attitude. However, the projects are predominantly individual efforts, and there is no information regarding team collaboration or contributions to open-source projects. The diversity of projects (ML, data analysis, web development) suggests a broad interest, but also a potential lack of deep specialization in a single area relevant to a senior Data Scientist role. The experience level is 0, which is not aligned with a senior role.
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 styles in a team setting.