
Enthusiastic Learner | Full Stack Web Developer
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Retail_Sales_Inventory
May 22, 2026 – Present
This project focuses on analyzing retail sales and inventory data to understand sales trends, customer behavior, staff performance, and product insights across multiple stores. The goal of this project is to derive meaningful business insights and support data-driven decision-making through SQL analysis and interactive Power BI dashboards.
View Projectcricbuzz-livestats
April 20, 2026 – Present
This project involves developing a live cricket analytics system using Cricbuzz data to track real-time match statistics, player performance, scorecards, and recent match information. The objective is to provide dynamic sports insights through automated data processing and interactive reporting.
View ProjectStrava-Fitness-Data-Analysis-EDA-Project
March 11, 2026 – Present
This project explores fitness activity data from Strava to examine workout habits, activity trends, and performance indicators such as distance covered, calories burned, and exercise consistency. The objective is to extract insights that help understand fitness patterns and training behavior.
View ProjectMediBuddy-Insurance-Data-Analysis-EDA-Project-
January 22, 2026 – Present
This project focuses on analyzing MediBuddy’s insurance dataset to understand the key factors influencing medical insurance charges. The goal of this project is to derive meaningful business insights that can help in better pricing strategies, risk assessment, and customer segmentation
View ProjectUber-Supply-Demand-Gap-Analysis
January 14, 2026 – Present
The primary business objective is to analyze Uber’s trip request data to identify patterns causing supply-demand gaps and provide actionable insights to improve ride fulfillment rates.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a self-driven learning approach. The diversity of projects, from web development to data analysis, suggests a broad interest, but a lack of team-based or open-source contributions makes it difficult to assess collaborative cultural fit. The target role is 'Data Scientist', and while there are relevant data analysis projects, the overall portfolio is quite diverse, indicating a potential need for focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication style.