Tim McCabe

Data Scientist

• Design, develop, test, validate, and deploy predictive analytics, machine learning (ML), and statistical models for new product development or projects
• Build data sets from multiple data sources and write data flows using Python and R, SQL/Spark.
• Use data visualization tools (e.g., Tableau, Kibana, Zeppelin) to share ongoing insights and present findings to technical audiences.
• Automated data flow from original source to team databases in Azure Cloud utilizing Azure's REST API and ARM API

Gainwell empowers clients through innovative technologies and differentiated solutions to deliver great health outcomes. World-class solutions for health an human services include Medicaid, Human Services, Public Health, and Technology Services.

M.E.P. Engineer

• Designed plumbing and fire protection construction documents with 2-D and 3-D modeling software for residential high-rise buildings across the U.S.
• Calculated hydraulic pressure and flow rates using fluid dynamic equations based on Bernoulli's to assure safety, functionality, and compliance with NYC Building Codes.
• Designed buildings to be LEED certified to save 25%-30% on energy usage and water consumption.
• Coordinated efforts internally between electrical, mechanical, and plumbing engineering design teams.
• Notable projects in New York City include The Crown Building Renovation and the Greenpoint Landing Waterfront Apartments.

Our work has ranged from corporate headquarters and campuses, high-rise commercial office buildings, and tenant interiors to libraries, museums, and performing arts centers; from large-scale mixed- use developments, hotels, and residential towers to government buildings, courthouses, and command and control facilities; and from mission-critical facilities to academic institutions, healthcare, and R&D facilities.

M.E.P. Engineer

• Project Manager for all projects for new Chick-fil-A restaurants in New York City. Coordinated efforts internally between electrical, mechanical, and plumbing engineering design teams. Communicated and coordinated with ownership and architects to reduce material and construction cost and improve efficiency.
• Designed plumbing and fire protection construction documents with 2-D and 3-D modeling software for residential high-rise buildings across the U.S.
• Inspected on-going construction sites for safety compliance and compliance with engineering documents.
• Notable projects in New York City include Central Park Tower, 200 Amsterdam Avenue, & Empire State Building.

AKF is a full-service building infrastructure consulting engineering firm serving public and private sector clients across the United States and around the world.

Columbia University

Stanford University

Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).