Work Experience

Customer Service & Data Assistant

Midnight Custom (www.mdntcstms.com) | Bolton, ON
September 2024 – April 2025

Midnight Customs is a performance automotive company specializing in custom vehicle modifications, detailing services, and premium aftermarket solutions.

About the work:

As a Customer Service & Data Assistant, I handled client inquiries, scheduled vehicle appointments, and managed service records using Excel. I maintained customer and invoice data, helped track parts inventory, and supported restocking operations.

I worked closely with mechanics to coordinate job orders and delivery timelines, contributing to smoother daily operations and improved customer satisfaction. This role sharpened my skills in data organization, multitasking, and collaborative problem-solving within a dynamic automotive environment.

Volunteer & School Projects

Toronto, ON
Ongoing

This section highlights practical experience gained through academic and volunteer-based projects focused on data analytics, teamwork, and professional communication.

About the work:

I participated in multiple team-based projects where I consistently demonstrated responsibility, time management, and discipline. I communicated effectively with peers and faculty, took initiative on complex tasks, and solved problems independently under tight deadlines.

These experiences helped develop my collaborative mindset and ability to adapt quickly in real-world scenarios — essential traits for data-driven and client-focused roles.

Projects

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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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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./

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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 Analysis

Tableau

Designed an interactive Tableau dashboard to visualize global video game sales by region, genre, platform, and publisher. Focused on clean Ul, interactivity, and storytelling through visuals rather than deep statistical modeling.

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Microsoft Azure project

Azure

Will create a full cloud-based data solution using Azure Data Factory (data ingestion & cleaning), Azure SQL (storage), Azure ML Studio (optional modeling), and Azure Web App (dashboard hosting). Focused on cloud workflows, automation, and real-time insights.}

Comming Soon...

About Garv

Data Analyst | Developer

I'm Garv, a driven and future-focused Data Analyst with advanced proficiency in SQL, Python (Pandas), MS Excel, Power BI, Tableau, AWS, Azure, and Data Engineering. I specialize in transforming raw data into meaningful insights through data cleaning, web scraping, database design, and the creation of dynamic dashboards. With a passion for data storytelling and a relentless commitment to growth, I aim to deliver data-driven solutions that drive innovation, efficiency, and business success.
Profile (Desktop)
I am currently pursuing Computer Programming at George Brown College in Toronto, with a strong emphasis on hands-on, industry-relevant projects. Beyond my technical skills, I bring exceptional communication, critical thinking, problem-solving, critical writing, strategic planning, and leadership abilities to every initiative. Guided by discipline and a solution-oriented mindset, I am dedicated to consistently achieving impactful results and contributing to organizational excellence.
Address

Greater Toronto Area

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