Summary / Bio


Coursework maps to GBC outcomes in database systems, analytics, and software development; the resume highlights capstone-style work such as normalized clinic databases, end-to-end retail and banking analytics, and Python-based data preparation. Professional development includes the IBM Data Analyst Professional Certificate, Microsoft Learn credentials in Power BI (ETL, reporting, and data modeling), and ongoing preparation toward the Microsoft Power BI Data Analyst (PL-300) exam narrative where relevant to target roles.
View or download resume (PDF)
Enterprise-grade combined pipeline ETL project from raw ingestion to curated warehouse and downstream BI visualization. Showcases full-stack data engineering + analytics capability.

This repository contains full end-to-end analytics project for FlipMart, a retail store dataset. The purpose of this study is to understand category performance, profitability contribution, key KPIs, and generate actionable recommendations for business improvement.

Built a normalized relational database for clinic operations using MySQL and SQL Server. Designed an ERD, created schema, inserted data, and wrote optimized SQL queries to manage patients, staff, and appointments.

Explored global technology trends using a real dataset from IBM’s Data Analyst Capstone. Performed data cleaning, visualization, and analysis in Python, Excel, and Cognos Analytics.

Analyzed global survey data on compensation, satisfaction, and tool usage among data professionals. Cleaned data using Power Bl Query Editor and built interactive dashboards with bar charts, pie charts, and gauge visuals.

Cleaned and transformed datasets with Pandas, scraped web data using BeautifulSoup. and visualized insights with Matplotlib and Seaborn. Projects include EDA, automation scripts, and a customer behavior analysis.

Analyzed customer purchasing patterns using Excel. Performed data cleaning, used Pivot Tables and advanced formulas, and built an interactive dashboard to visualize trends and insights.
Professional learning and formal credentials that support the technology program and career direction summarized in the bio above. Each item includes a preview of the issued certificate.

IBM and Coursera professional certificate covering the data analyst workflow: spreadsheets and SQL, Python and data visualization, and a capstone-style analytics project.

Power BI data preparation and ETL using Power Query: shaping sources, combining queries, and loading clean, analysis-ready datasets into the semantic model.

Foundations of analytics in Power BI—connecting to data, building visuals and reports, and communicating insights for business decision-making.

Relational and analytical modeling in Power BI: tables and relationships, star-schema thinking, measures, and a solid base for dashboards and DAX.