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• Completed Full-Time, 480+ Hour, 12 Week Hands-On Course. Acquired, Cleaned, and Explored Large Datasets Using Python and Sql to Present Findings to Both Technical and Non-Technical Audiences. Completed 23 Labs and 5 Projects Focused on Real-World Applications of Data Science Principles and Best Practices. Developed A Natural Language Processing Model to Target Advertisements Using Subreddit Posts. Collaborated on A Team to Use Machine Learning to Make Predict the Property Damages Caused by the Lahar Flows from A Potential Eruption of Mount Rainier. Participated in A Campus-Wide Event to Roll Out A Production-Level Model to Predict Income in 8 Hours or Less. Automated Video Highlighting of Past Twitch Broadcasts Using Time-Series Analysis and Natural Language Processing.
• Collaborated on Group Projects Using Git and R for A Variety of Challenges, Such as Helping Undecided Students Select A Major Based on Earnings and Unemployments Rates of Existing Graduates in the Field. Programmatically Solved Individual Assignments Using Recursion, Binary Trees, Stacks and Queues, and Fundamental Programming Techniques Such as Debugging and Factoring. Relevant Coursework: Beginning and Intermediate Programming, Calculus 1-3, Informatics, Statistics