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Mike Rossi

Mike Rossi

Data Scientist

Engineering / Architecture

Seattle, City of Seattle, King

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About Mike Rossi:

Experienced Data Scientist with history of delivering high-impact solutions in fast-paced environments. Proven ability to create AI-powered decision making models, develop robust algorithms, and lead technical workgroups. Seeking to leverage expertise in a dynamic role that values technical skill and strategic leadership.

Experience

Inplay Innovation Inc  — Sacramento, CA — Data Scientist

June 2022 - PRESENT

Algorithm Development and Innovation: Led the creation and implementation of an advanced algorithm for pricing same game parlays (SGP), effectively incorporating complex correlations. This innovation played a pivotal role in managing over $4 million in betting volume, maintaining a profitability level comparable to non-SGP products.

Sports Simulation & Pricing Strategy: Developed AI-driven pricing models for NFL drives, NBA pregame lines, and MLB in-play player props, significantly improving the precision and efficiency of the company’s pricing strategies. Employed probability theory and stochastic processes to capture real-time changes in game states. Built pipelines to ingest and process large volumes of sports data in near-real time for live betting scenarios.

Risk Management Leadership: Spearheaded the evolution of risk management frameworks, ensuring sustainable growth and profitability in a highly dynamic betting market. Collaborated with trading teams to refine odds compilation and real-time risk monitoring. Deployed alerting mechanisms to identify and mitigate exposure in high-liability bet types.

Avalon Healthcare Solutions —Tampa, FL  — Data Scientist

November 2020 - May 2022

Data Analysis and Insights: Extracted and analyzed lab values data to identify undiagnosed and unstaged Chronic Kidney Disease and Diabetes in a population exceeding 10 million, leading to significant improvements in patient care and early intervention strategies.

Predictive Model Development: Led the design and deployment of an advanced model pipeline in AWS, specifically aimed at identifying fraud and abuse in lab orders. The  system streamlined the analysis of complex datasets, significantly enhancing the ability of healthcare providers to make informed decisions and safeguard against fraudulent activities.

Leadership and Collaboration: Led a technical workgroup dedicated to publishing cutting-edge research on lab values data, fostering collaboration and knowledge sharing within the organization and the broader healthcare community.

Education

University of Massachusetts, Amherst
Master’s Degree in Industrial Engineering

2013 - 2015

 

University of Massachusetts, Amherst, MA 
Bachelor of Science in Mathematics

2009 - 2013

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