MIKE OXMAUL +1 (444) 444-4444 ⋄ City, Province mikeoxmaul@university.email ⋄ linkedin.com/in/mike-oxmaul/ ⋄ github.com/mike-oxmaul EDUCATION Master of Applied Computer Science , Generic University — City, Province Expected 2024 Relevant Coursework: Machine Learning, Advanced Programming Practices. Bachelor of Computer Science , Generic University — City, Country. 2017 - 2021 Graduated with First Class Honours. Dissertation: Improved upon and evaluated an approach to unsupervised association rule mining via Markov Clus- tering. Awarded the [Redacted] Award (2017 & 2021) for academic excellence. SKILLS Programming Languages Python, Java Operating Systems MacOS, Ubuntu, CentOS, Windows Database Technologies SQL, MySQL, PostgreSQL, SQLite Libraries & Other Git, MLFlow, PyTorch, TensorFlow, Pandas, Flask, NLTK, Excel VBA EXPERIENCE Machine Learning Engineer Intern March 2022 - July 2022 Company Name Remote • Developed a deep learning model with PyTorch to predict cancer subtypes based on RNA sequence data, achieving a > 98% accuracy rate across 25 cancer types. • Engineered a data pipeline to compile RNA sequence data from hundreds of different sources with varying formats. • Applied ANOVA F-Tests and Chi-Squared feature selection techniques to improve model training time by 60%. • Used MLFlow to optimize hyperparameter tuning, improving the model’s accuracy by ≈ 20%. • Built a RESTful API service to serve the model via Flask. Programmer September 2019 - March 2022 Company Name City, Country • Developed a program using Python and Excel VBA to compile data from various financial accounts, producing a detailed analysis report on the financial position of the company. • Introduced 3D-printing and laser cutting into the manufacturing process, resulting in more complex jewelry design. PROJECTS Automated Cryptocurrency Trading [Python] Currently building a deep learning based program that can autonomously (and profitably) trade cryptocurrency pairs on the Binance exchange. The Road to Julia Roberts [Java] Developed a program that finds the shortest path of movies connecting their favorite actor/actress to Julia Roberts. Similar to the Oracle of Bacon. Twitter Sentiment Analysis [Python] Developed a Long Short-Term Memory neural network to analyze the sentiment of tweets relating to the online school system during the pandemic, on a five point scale. TMDb Movie Sorter [Python] Built a program that synchronizes a user’s Plex library with a list on The Movie Database website. The program then sorts the list on the TMDb website by the dominant color of the movie poster, via K-Means clustering.