Analytical professional with expertise in SQL, Python, Tableau, Power BI, and AWS, specializing in transforming raw data into actionable insights. Proficient in data cleaning, modeling, visualization, and ETL processes to enhance decision-making and performance tracking. Experienced in managing large datasets, automating data quality checks, and developing interactive dashboards for monitoring key business metrics. Certified AWS AI Practitioner and Cloud Practitioner, dedicated to leveraging data for solving complex challenges and achieving measurable results.
Netflix Data Analysis and Visualization using Amazon QuickSight
Built an interactive Amazon QuickSight dashboard using S3-hosted Netflix datasets (~1M records) with filters for region, genre, and year.
Flight Data Analysis
Designed an Oozie workflow to process 22 years of flight data, identifying performance trends in airlines and airports. Optimized MapReduce joins across 3 AWS EC2 instances, improving processing efficiency by 35%.
Online Banking Application.
Developed and deployed a banking web application using Python (Flask), HTML/CSS, and SQL, with REST APIs, relational schema, CI/CD on Heroku, and version control via GitHub.
Library Database Management System
Designed and implemented a multi-phase public library database system, covering schema design, logical modeling, and final deployment. Developed SQL scripts to create and populate relational tables while ensuring data integrity and nconsistency. Built a user-friendly, menu-driven application supporting key operations like search, checkout, return, and reservation.