Tim Brennan

Data Scientist

Tim is an experienced analytics consultant and business analyst. Building on past job experience dedicated to business intelligence and corporate financial planning, Tim now focuses on deploying predictive and prescriptive analytics within organizations. Tim is particularly excited by the opportunity that exists for non-digitally native businesses to leverage advanced analytics as a competitive advantage.

Focus Areas:

Business Forecasting (statistical and machine learning techniques), Corporate Finance Analytics, Analytics Translation & Communication

Business Interests:

Decision modeling, Data Product Design, Open Source Solutions, Supply Chain Analytics, Analytics Teams

Education:

BA, Economics, University of Maryland College Park

Certificate, Wine Studies, Boston University – Metropolitan College

Certificate, Financial Planning, Bryant University

Tim Brennan

Data Scientist

Tim is an experienced analytics consultant and business analyst. Building on past job experience dedicated to business intelligence and corporate financial planning, Tim now focuses on deploying predictive and prescriptive analytics within organizations. Tim is particularly excited by the opportunity that exists for non-digitally native businesses to leverage advanced analytics as a competitive advantage.

Focus Areas:

Business Forecasting (statistical and machine learning techniques), Corporate Finance Analytics, Analytics Translation & Communication

Business Interests:

Decision modeling, Data Product Design, Open Source Solutions, Supply Chain Analytics, Analytics Teams

Education:

BA, Economics, University of Maryland College Park

Certificate, Wine Studies, Boston University – Metropolitan College

Certificate, Financial Planning, Bryant University

We have taken the latest work-related articles and blog posts that Tim has been reading and transformed them into an Interest Graph. Now, you can see the ideas that are occupying his mind. It’s an interactive chart so feel free to click on the nodes (circles) or edges (lines between two nodes) to see the related articles. Enjoy!

Forecasting at Uber: An Introduction

Franziska Bell, Slawek Smyl
Uber Engineering
September 6, 2018
Hashtags

#adaptable, #forecasting, #Uber

Keywords

back testing, forecasting, methods, prediction intervals, Uber

Hashtags

#adaptable, #data science, #quantum black, #round table

Keywords

data science, organization, talent

7 Practical Tips for Cheating at Design

Adam Wathan & Steve Schoger
Medium
February 20, 2018
Hashtags

#adaptable, #design, #website

Keywords

web design