Summary / Bio

Garv Dudy

Data Analyst | Developer

I'm Garv Dudy, a student Data Analyst with a strong foundation in Computer Science and over 4+ years of knowledge in data tools and programming. My journey started long before data — I was a 200m and 400m athlete during school, where I learned discipline, resilience, and the importance of consistent effort. Later, I shifted my energy into academics, completing my high school diploma in Mathematics and Computer Science with a focus on programming and data structures. Along the way, I began working with real-world datasets, building dashboards, analyzing business and healthcare data, and learning how to turn information into stories that make sense to people.
Profile (Desktop)
Beyond academics, I believe in building both the mind and character. I've read and applied lessons from books like The Power of the Subconscious Mind, Atomic Habits, Rich Dad Poor Dad, Attitude is Everything, and I'm currently reading The 7 Habits of Highly Effective People. I also love writing stories, designing models, and testing ideas using tools like Visual Paradigm. Right now, I'm pursuing Computer Programming at George Brown College with coursework in SQL, Linux, Data Analysis, and Full-Stack Development, while also exploring human behavior through my elective course Psychology of Human Relations. With certifications like the IBM Data Analyst Professional Certificate and ongoing Microsoft Power BI (PL-300) training, I'm shaping myself into not just a data analyst, but a well-rounded professional who values growth, creativity, and human connection

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.

Project Screenshot

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.

Project Screenshot

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.

Project Screenshot

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.

Project Screenshot

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.

Project Screenshot

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.