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Work Details
I processed a dataset containing 43,156 rows, 83 columns and 477,061 missing values for analysis using the Numpy and Pandas libraries in Python
I used data visualization techniques to choose the best linear regression algorithm for the dataset to minimize overfitting
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Work Details
I built 4 new features on our website using Python, HTML and CSS in the Django framework
I reduced our monthly server costs by 55% by migrating user data to a MySQL database using the Google Cloud Platform
My supervisor awarded me the highest possible rating due to my strong leadership and software development skill
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I saved 40 staff-hours by automating the collection of data for 10,000 parts using Python
My supervisor awarded me an "Excellent" rating due to my excellent work-ethic, communication and ability to learn fast
I learned how to use a 3D Scanner, learned how to use 3D scan processing software and conducted 20 scans within a week
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Work Details
I conducted linear regression inference on a dataset to determine the most fuel-efficient car design using Python
I processed a dataset containing 43,156 rows, 83 columns and 477,061 missing values for analysis using the Numpy and Pandas libraries in Python
I used data visualization techniques to choose the best linear regression algorithm for the dataset to minimize overfitting
Qualifications
- 8 months of work experience using object‐oriented programming languages for application development and data management
- Fluent in Python, JavaScript and C++
- Completed over 150 commits, forks and pull requests using the Git Version Control System
- Experience with Node.js, React.js, Tensorflow, and MySQL
- Received the two highest work term ratings possible during last two work terms due to excellent work ethic and independent work ability
Work Experience
- Used Python, HTML and CSS with the Django framework to create 7 essential features for the University of Waterloo’s international student mentor‐ship website.
- Reduced monthly server costs by 55% by migrating website and user data to a Linux server and a MySQL database using the Google Cloud platform.
- Received the highest possible rating due to ability to learn quickly and dedication to project despite working remotely.
September 2020 ‐ January 2021
- Decreased data collection time by 75% and saved 40 staff‐hours by creating data‐collection and cleaning scripts in Python to collect data for more than 10,000 parts.
- Received “Excellent” rating by co‐workers for excellent communication and work ethic.
January 2020 ‐ April 2020