Timothy Hayes

Timothy Hayes is a Data Scientist currently working at Bright MLS in the New York City Metropolitan Area. He holds a Ph.D. in Mathematics from Drexel University and has extensive experience in data science, particularly using tools like Pyspark for model building.

Professional Experience

• Principal Data Scientist at Bright MLS (June 2021 - Present)
  • Focuses on developing data models and implementing automated performance testing.
• Staff Data Scientist at Remine (November 2019 - June 2021)
  • Responsible for rewriting models into Databricks and Pyspark, enhancing model performance and automation.
• Senior Data Scientist at Remine (February 2017 - June 2021)
  • Analyzed large datasets and developed models like Buyscore to improve user experience in real estate applications.

Education

• Ph.D. Research at Drexel University (September 2011 - August 2016)
  • Specialized in spline sheaves within algebraic geometry, contributing algorithms for data analysis in Python.

Teaching Experience

• Served as a Teaching Assistant at Drexel University, instructing students across various mathematics courses, including Calculus and Abstract Algebra.

Timothy's work emphasizes the integration of advanced mathematical concepts with practical data science applications, making significant contributions to the fields of real estate analytics and data modeling.