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Michael Healy
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From this line to developing complex analytical models in the present, becoming a Data Scientist was never dull, filled with the inspiration that I would become part of the driving force of the next technological revolution: one fueled by data.Now I have obtained a Masters of Data Science and have over a year of professional experience as a Data Scientist, and 6 months of experience as a Machine Learning Researcher. I seek to further develop my skills in a challenging and demanding professional capacity.
Education
08/2021 - 05/2023 | M.S. Data Science, 3.7 GPA New York University ● Focused on Machine Learning, Analytics, & Big Data skill sets ● Coursework in Financial Analysis and NLP | |
08/2017 - 05/2021 | B.S. Mathematics and Physics, 3.8 GPA New York University ● Magna Cum Laude ● Focused in Statistics, Linear Algebra, & Computer Analysis |
Work
03/2023 - Present | Data Scientist T.N.T. Martial Arts LLC. | |
●Applied machine learning algorithms to analyze and identify predictive trends, providing actionable insights for strategic business improvement, leading to the successful establishment of the martial arts school. ●Implemented data-driven solutions to enhance operational efficiency, overseeing student relations, appointments, and scheduling for improved client satisfaction. | ||
09/2022 - 03/2023 | Assistant Researcher Flatiron Institute | |
●Collaborated with Shirley Ho and team to conduct research and implement cutting-edge models utilizing the MaxViT architecture. ●Developed model achieved an average of 86% accuracy in parameter inference, demonstrating remarkable alignment with state-of-the-art performance benchmarks. |
Projects
09/2022 - 12/2022 | Predicting Probability-of-Default for Bank Data ● Collaborated on a team to build a probability-of-default model. ● Analyzed, cleaned, and processed data into ratios and optimal features. ● Researched historical and current financial analysis techniques. | |
01/2022 - 05/2022 | Evaluating How Fine-tuning on Bimodal Data Effects Code Generation ● Project inspired by GitHub Copilot. ● Focused on web-scraping and consistent input data preparation. ● Reduced errors in generated programs. |