Hendrix Hanes

I am a recent graduate of the Masters of Data Science and Artificial Intelligence program at the University of Waterloo. I have held many internship positions focused on Data Science and am currently looking to find full-time employment.

KITCHENER RANGERS

Full Stack Developer and Video Coach

May 2019 – Current

• Maintain and develop a Django-based web application that is powered by Sportlogiq’s raw data to create dynamic views and descriptive analyses deemed critical by the team
• Contributed to an extensive data pipeline using Python, SQL and DBT to take raw data CSVs from Sportlogiq’s SFTP and store formatted data in a PostgreSQL database
• Created a live and interactive RShiny draft app that consolidated scouting notes, key player stats and prospect ratings into a visually stimulating player card used by the management team during the draft

EMBARK TRUCKS

Data Scientist

May 2022 – August 2022 | Remote

• Leveraged Spark and the company’s data stack to query, clean and engineer massive datasets for complex analyses
• Prescribed data-driven improvements to vehicle self-driving performance through exploratory data analysis, which involved crafting visualization with Seaborn to show when and how safety violations occur in correlation with scenario types
• Developed a dynamic Tableau dashboard to visualize safety performance of self-driving trucks, and scheduled cron jobs using Databrick’s workflow capabilites to update the underlying data daily

STATISTICS CANADA

Data Scientist

Jan 2020 – April 2020 | Ottawa, ON

• Constructed NLP-based ”thesaurus” solutions that used NLTK’s WordNet and GloVe word embeddings to create relational sentiments between the different keywords used in their classification system
• Proposed and implemented improvements to the SQL data pipeline, primarily redesigning data models to better scale to the growing data sources available while also leveraging materialized views and primary/foreign key relations

SUMMATTI

Data Scientist

Sept 2020 – Dec 2020 | Waterloo, ON

• Developed and trained statistical models using algorithms like XGBoost and logistic regression to classify customer service agent performance based on GloVe embeddings and engineered features from text transcripts
• Extracted the top key words associated with strong/poor customer service agent performance using spacy
• Communicated analytical findings (proportion of well-performing agents, leading indicators of performance) using data visualization tools like Seaborn

SUN LIFE FINANCIAL

Strategy Analyst

Jan 2019 – April 2019 | Waterloo, ON

• Leveraged mathematical software such as Excel and Tableau to consolidate sensitive information regarding mergers/acquisitions and company structure
• Gained valuable experience researching various key strategic targets as part of many projects throughout the term
• Leveraged my tech savvy and learning mindset to become proficient in VBA and improve upon the current data consolidation process

MASTERS OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

University of Waterloo

Dec 2022 | Waterloo, ON

Graduated with Honors, Distinction

BACHELOR OF MATHEMATICS IN STATISTICS

University of Waterloo

Aug 2021 | Waterloo, ON

Graduated with Honors, Distinction

BACHELOR OF BUSINESS ADMINISTRATION IN FINANCE

Wilfrid Laurier University

Aug 2021 | Waterloo, ON

Graduated with Honors, Distinction