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Hire Michael R.

United States

USD 55 /hr

Data Scientist & Python Developer | Expertise in Healthcare & Professional Sport Data

Profile Summary

I obtained my Ph.D. in Industrial Engineering and Operation Research at the University of Massachusetts, where I also received a Certificate in Statistical and Computational Data Science. Currently, I am founding a company focused on professional and fantasy sports analytics. I have a strong background in optimization\biostatistics. I have 7+ years of experience analyzing large clinical, claims, and financial data using various software packages (Python, Matlab, SAS, SPSS). I have extensive knowledge of machine learning models and have developed various analysis strategies for different studies and projects. Models and Methods that I have applied in the research projects: 1. Random Forest, Extra Trees, SVM, AdaBoost, SGD Classifiers\Regressors 2. Multilayer Perceptrons, Generative Adversarial Networks, Convolutional Neural Networks, 3. Convex, Stochastic, Mixed Integer Programming 4. Monte Carlo Simulations, Genetic Algorithms 5. ROC curve, ANOVA, T-test, Nonparametric Statistics, Cohen's alpha, Pearson's Correlation Coefficients, Chi-squared test. 6. CMS-HCC Risk Adjustment Model (HCC, RxHCC, ESRD) 7. K-Means, Gaussian Mixture Models, Spectral Clustering 8. Filter, Wrapper, Embedded Feature Selection 9. Grid search, Bayesian, Gradient-based Hyperparameter Optimization 10. Hot deck, Interpolation Imputation As a Data Scientist, I love diving into new datasets, identifying insights, and supporting decision-making. Please feel free to contact me, and I will respond to your message within 24 hours. Thank you. Languages: Python, Matlab, DAX Machine Learning/Deep Learning: Scikit-learn, Keras, Tensorflow Analysis/Visualization: Django, Pandas, Numpy, Seaborn, Scipy Scraping/Crawling: BeautifulSoup, Selenium Reporting: Qlik, Tableau

Subject Matter Expertise

• ★ Machine Learning
• ★ Python
• ★ Medicine
• ☆ Industrial Operations Research
• ☆ Data Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Data Processing
• ☆ Deep Learning
• ☆ Mathematical Optimization

Services

• Research
• Data & AI
• Product Development

Research Market Research, User Research, Systematic Literature Review

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Product Evaluation, Prototyping

Work Experience

Data Scientist

Fantasy Sports Data Science

September 2020 - Present

Data Scientist

Radial Analytics

May 2018 - September 2020

Graduate Research Assistant / Research Assistant

University of Massachusetts Amherst

January 2014 - June 2019

Education

Industrial Engineering and Operations Research

University of Massachusetts at Amherst|United States

September 2014 - May 2019

Bachelors in Science (Mathematics)

University of Massachusetts Amherst

September 2009 - May 2013

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Michael C. Rossi and Hari Balasubramanian(2018). Panel Size, Office Visits, and Care Coordination Events: A New Workload Estimation Methodology Based on Patient Longitudinal Event Histories . MDM Policy & Practice. 3. (2). p. 238146831878718. {SAGE} Publications