Charlie Tomlinson

#TODO

McGill University, Desautels Faculty of Management
Montréal, Canada
Bachelor of Commerce in Business Analytics
Aug 2020 - May 2025
  • Minor in Computer Science
St. Paul's School
Concord, United States
High School Diploma
Aug 2020 - May 2025
Dye & Durham
Toronto, Canada
Data Intern
Jun 2023 - Jul 2023
  • Streamlined budget report compilation across all departments and countries using Python and pandas, creating an adaptable, time-saving script for automation of future reporting.
  • Maintained and updated daily revenue dashboard in Excel by consolidating data from 5+ sources and manually entering figures, delivering accurate same-day reporting to C-suite and department heads.
  • Developed Excel-based churn trackers to monitor customer purchasing behavior across several software products, analyzing the impact of pricing changes on retention trends.
Avenu
New York, United States
Research Intern
Jun 2022 - Sep 2022
  • Developed research methodology by sourcing relevant social media keywords to streamline user base expansion process, resulting in acquisition of 12+ partnerships and increased brand visibility for event app.
  • Researched startup funding metrics and collaborated with founders to identify key performance indicators aligned with growth objectives.
  • Interviewed industry workers and users, summarizing feedback that informed ongoing improvements to app’s user experience.
SpottedRisk
Boston, United States
Junior Analyst
Jun 2020 – Jul 2020
Research Intern
Jun 2019 – Jul 2019
  • Researched celebrities and high-ranking executives, compiling risk profiles to support underwriting decisions for insurance policies. Consistently exceeded research targets by up to 40%.
  • Implemented web-scraping techniques and leveraged Google’s Programmable Search Engine to enhance quality assurance, leading to the adoption of two new research routines.
  • Shifted tasks frequently to accommodate incoming, high-priority client reports, supporting data science team in meeting deadlines.

Please note this section is a work in progress and will be expanded with more examples of my project experience soon.

Promotional Strategy Consulting - McGill University Team Project
Montréal, Canada
Data Processing and Statistical Modeling
Jan 2025 – Apr 2025
  • Consolidated and cleaned 1,250+ point-of-sale transaction files using Python to produce an analysis-ready dataset.
  • Modeled consumer behavior by estimating price and cross-price elasticities while controlling for temporal effects, informing value-driven promotional positioning.
  • Presented analytical findings and actionable recommendations to company leadership, driving buy-in through formal deliverables and weekly meetings with a Senior Manager.

Programming Languages

Python
pandas NumPy statsmodels Matplotlib scikit-learn
R
stats tidyverse (dplyr, tidyr, readr, ggplot2) plotly
SQL Java JavaScript HTML CSS

Data Visualization and BI Tools

Microsoft Power BI Tableau

Productivity

Microsoft Office
Excel PowerPoint Word
Google Workspace
Sheets Slides Docs

Modeling

Regression Classification Clustering Forecasting Optimization