James Burnard

Data Science Consultant

Supporting client projects focused on data lineage and data governance optimization.

Data Science Intern

At Jamix Inc., I worked remotely as a Data Science Intern from May 2025 to September 2025, where I developed a data-driven sales prospecting workflow for the higher education market. I built a Python ETL pipeline using pandas, requests, and fuzzywuzzy to integrate HubSpot CRM data, College Scorecard API data from 6,429+ institutions, and institutional datasets into a cleaned and filtered dataset of approximately 1,000 relevant schools. I then used this dataset to create Tableau dashboards that analyzed selected institutional variables and combined those findings with Euclidean distance scoring and network analysis to identify 75 high-fit sales prospects. Alongside this project, I managed daily HubSpot data operations by importing and updating institutional records to support cross-functional requests.

Assisted Professor Nathan Meyers

As a Quantitative Research Assistant in Economics from January 2025 to April 2025, I assisted Professor Nathan Meyers with an economic research project analyzing the relationship between union decline and financial outcomes across U.S. industries. I built a research pipeline using Python, R, SQL, Excel, and scikit-learn to analyze 1,174 industry-year observations across 710 variables, focusing on shareholder dividends, taxation, and labor compensation. I also developed an interactive 3D Plotly visualization of 886 industry-year observations across 44 industries and 27 years, allowing users to explore industry clustering and structural economic change over time. In addition, I applied econometric techniques including Difference-in-Differences analysis, regression modeling, and correlation analysis to evaluate the effects of union decline across multiple economic outcomes.

Business Development and Market Insights Intern

At AVC (Audio Video Creators), I worked in London as a Business Development and Market Insights Intern from December 2024 to March 2025, focusing on market research within the podcast and digital audio advertising industry. I analyzed podcast advertising performance, audience, and market data in Excel using XLOOKUPs, VLOOKUPs, PivotTables, and conditional formulas to identify trends across advertisers, shows, and audience segments. I also supported podcast advertising partnerships by coordinating campaign timelines, deliverables, and stakeholder communication for brand campaigns involving NordVPN and shows produced by Sky Sports and the BBC.

Assisted Professor Kevin Young

As an Undergraduate Economics Research Assistant for EURA from February 2024 to May 2024, I assisted Professor Kevin Young with a historical data digitization and social network analysis project. I built a Python OCR pipeline using Tesseract, pdf2image, pandas, and regex parsing to digitize more than 4,500 physical book pages into structured CSV and JSON files containing 53,131 research-grade records across eight historical book editions. I then transformed historical membership data into social network models using HTML and JavaScript, spanning 218 organizations and 42,700 membership links to uncover patterns of organizational connectivity and continuity from 1967 to 1989. I also developed validation workflows to identify OCR errors, duplicate entries, missing fields, and unknown organization codes, improving the reliability of the research dataset.

Data Science Intern

At Undergraduation.com, I worked remotely as a Data Science Intern from June 2024 to August 2024, contributing to the early development of an AI assistant designed to improve customer support on the company website. My work focused on building Python scripts that converted company documents into embeddings, organized the resulting vectors, and stored them in a PostgreSQL database to support semantic search and AI-powered responses to customer inquiries.

Line Cook

At The Country Club in Brookline, MA, I worked as a Line Cook from July 2021 to August 2023 in a fast-paced, high-standard kitchen environment. I prepared more than 150 dishes per shift while maintaining consistency, speed, and attention to presentation. This role strengthened my ability to work under pressure, manage competing priorities, and collaborate effectively with a team while meeting strict quality expectations.