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CodeAlpha_Retail_Business_Intelligence_and_Exploratory_Analysis
May 22, 2026 – Present
📈 Uncovering hidden customer behavior trends, payment preferences, and regional demand dynamics using Python, Pandas, and Seaborn to guide targeted business growth strategies.
View ProjectDeeptech-Week03-Advanced-SQL-Queries-and-Optimization
May 14, 2026 – Present
Deeptech-Week03-Advanced-SQL-Queries-and-Optimization — repository
View ProjectCodeAlpha_Web_Scraping_Project
May 12, 2026 – Present
CodeAlpha_Web_Scraping_Project — repository
View ProjectHR-Analytics-Dashboard
May 4, 2026 – Present
End-to-end HR analytics project analyzing workforce composition, attrition trends, and key drivers of employee turnover using Power BI, DAX, and a star schema data model.
View ProjectDeeptech-Week02-Advanced-Data-Visualization-and-Interpretation
April 22, 2026 – Present
Statistical analysis (EDA) of student data using confidence intervals, and standard error to derive meaningful insights.
View ProjectDeeptech-Week01-Advanced-Data-Analysis-Techniques
April 16, 2026 – Present
Deeptech-Week01-Advanced-Data-Analysis-Techniques — repository
View ProjectDeeptech-Python-Learning1-Basic-Operations
April 15, 2026 – Present
This repository demonstrates basic operations and computations in python.
View ProjectDeeptech-Python-Learning3-String-Manipulation
April 12, 2026 – Present
Deeptech-Python-Learning3-String-Manipulation — repository
View ProjectDeeptech-Python-Learning2-Business-Funding-Data-Cleaning
April 8, 2026 – Present
This repository demostare how i cleaned a business funding data in python as part of my learning journey as a 3MTT fellow
View ProjectHealthcare-Database-Analysis-Sql
March 15, 2026 – Present
SQL project analyzing patient and doctor data in a healthcare database.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-learning and practical application of data science concepts, which aligns with a proactive and growth-oriented culture. The diversity of projects (retail, HR, healthcare, business funding) suggests adaptability and a broad interest in applying data science to different domains. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Project descriptions indicate an ability to work on self-directed learning initiatives.