Resume

Technical skills (on the resume)

  • Data & BI: SQL, MySQL / SQL Server, Power BI (Power Query, modeling, DAX fundamentals, dashboards), Microsoft Excel (pivot tables, advanced formulas, reporting), ETL design and pipeline thinking, survey and retail analytics storytelling.
  • Programming: Python (Pandas, exploratory analysis, cleaning and transformation), scripting and tooling aligned with program labs, Git version control, and full-stack project work where applicable.
  • Platforms & methods: Linux environment familiarity, requirements and documentation practices, IBM Data Analyst capstone-style workflows, and visualization for technical and non-technical stakeholders.

Program alignment & credentials

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)

Projects

Project Screenshot

ETL Banking Transactions

ETL Pipeline

Enterprise-grade combined pipeline ETL project from raw ingestion to curated warehouse and downstream BI visualization. Showcases full-stack data engineering + analytics capability.

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FlipMart BI Sales Analytics

Power BI

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.

Project Screenshot

Clinic Database

MySQL

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.

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IBM Capstone Project

IBM

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.

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Survey Breakdown

Power BI

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.

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Data Cleaning

Python

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.

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Sales Dashboard

MS Excel

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.

Certificates, diplomas & academic awards

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 Data Analyst Professional Certificate credential

    IBM Data Analyst Professional Certificate

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

  • Certificate for Extract, Transform and Load Data in Power BI

    Extract, Transform and Load Data in Power BI

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

  • Certificate for Harnessing the Power of Data with Power BI

    Harnessing the Power of Data with Power BI

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

  • Certificate for Data Modeling in Power BI

    Data Modeling in Power BI

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