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.
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.
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.
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./
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.
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.
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...