Data Science Intern
TechBlocks
Making everyday data work less manual.
- Role
- Data Science Intern
- When
- Jun 2024 – Aug 2024
- Where
- Toronto, Canada
The interesting part of this internship was what happened around the code: getting data from different sources into usable shape, then helping people work with the result.
Start with the repeated work
I used Python to automate data preparation across multiple sources. The useful measure wasn’t the size of the script. It was how much routine cleanup someone no longer had to do.
Give text a practical use
Another part of the work used text analysis for lead scoring. That connected the data work to a concrete decision: which leads should the team spend time on?
The handoff was part of the build
I wrote documentation and recorded video guides so people could use the workflows without coming back for every question. Code, instructions, and the person using them were all part of the same job.
Tools & methods
Python · Data pipelines · Text analysis · Documentation