Michael Healy

print("Hello World!")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.