This Python script automates data updating in TLD-CRM by scraping information from the CMS portal, handling Azure Key Vault authentication, and utilizing web interactions, API requests, and email notifications.

Data analysis is the process of turning raw data into useful information for decision-making.

This project analyzes Walmart sales data through advanced SQL queries to uncover trends in sales, product performance, and store efficiency. It demonstrates practical SQL skills in extracting business insights, aiding in data-driven decision-making and strategic planning for retail operations.

Credit card fraud detection model that is built using Machine Language and R programming

Collection of various algorithms implemented in R.

End to end ETL of GPRA data generated from via the implantation of the Medication Assisted Treatment - Prescription Drug and Opioid Addiction (MAT-PDOA) at RWJBarnabas facilities in New Jersey from the EHR and uploaded into SPARS.

Collection of continuous learning and growth in the world of data analytics. Lifelong Learner! 🚀

This project uses SQL to analyze e-commerce sales data, uncovering trends in customer behavior, product performance, and sales patterns. It demonstrates advanced SQL skills to provide insights that support improved inventory management, marketing strategies, and overall business decision-making for e-commerce operations.

In this repository, I share my solutions for the 8th challenge of 8 Week SQL Challenge series.

Playing a role of a Data Scientist at USDA My course work for SQL for Data Science provided by University of California, Davis

Explore comprehensive retail analysis and insights focusing on Marley International Store, powered by data analytics techniques and visualizations using Python, PowerBI and Jupyter Notebooks.

GUI based data transformation web-app

This repository contains the analysis and findings from a customer satisfaction survey. The analysis is aimed at understanding customer feedback across different aspects such as Delivery, Product, Service, and Support. The results are classified into positive, neutral, and negative sentiments to provide actionable insights.

This portfolio contains my projects as a Data Analyst

Data science virtual internship programme by British Airways through Forage!

This project demonstrates data manipulation and joining techniques using the pandas library in Python. It was completed as a part of the DataCamp Associate Data Scientist track, following the "Data Manipulation with Pandas" and "Joining Data with Pandas" courses.

A GoogleSheet-based dashboard for analyzing bike sales data, customer behavior, and demographic trends through interactive visualizations and data filtering.