Timothy Scharf
Data AnalystML Engineer / Data Scientist
Second Spectrum, Inc.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML Engineer / Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently working on ML applications in professional sports. Proud Kaggle Master https://www.kaggle.com/scharf
Brown University
Linear Algebra through Computer Science Applications
N/A – Present
DePaul University
Master of Science - MS, Comp. Sci. - Predictive Analytics - Computational Methods
N/A – Present
Northwestern University
Bachelor of Science - BS
N/A – Present
Second Spectrum, Inc.
Senior Machine Learning Engineer
September 1, 2018 – July 1, 2019
Los Angeles, California
North Central College
Adjunct Instructor
January 1, 2016 – January 1, 2016
Greater Chicago Area
Uptake
Senior Machine Learning Engineer
June 1, 2015 – June 1, 2018
Chicago
CME Group
Index Options Market Maker
March 1, 2000 – March 1, 2013
CBOE
Index Options Market Maker
January 1, 2000 – January 1, 2007
Chicago
National Football League (NFL)
-
September 1, 1997 – October 1, 1998
Jets, Steelers, Titans, NFL Europe (Scotland)
Midwest Signal and Research
February 1, 2016 – Present
Experimental project using LSTM/GRU/RNN deep learning sequence processing techniques to aggressively mine global equity,futures and options markets for directional plays in volatility and underlying.
Predictive Modeling / Machine Learning
March 1, 2014 – Present
Competitive Data Mining Machine Learning Projects ranging from retail prediction to particle physics Use Open Source Software (R,Python) Master Class Highest Global Rank 49th https://www.kaggle.com/scharf
Coding the Matrix: Linear Algebra through Computer Science Applications
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong drive for continuous learning and self-improvement through personal projects, Kaggle participation, and certifications. The diverse background, including professional sports and financial markets, suggests adaptability and a broad perspective. However, the primary focus on Machine Learning Engineering might require an adjustment to a pure Data Analyst role, which often involves more reporting, dashboarding, and business intelligence, potentially indicating a slight mismatch if the role is not heavily focused on advanced analytics or predictive modeling.
Soft Skills & Operational Fit
The candidate's experience as an Adjunct Instructor suggests an ability to explain complex topics, which is beneficial for collaboration. The competitive nature of Kaggle and market making roles implies a drive for results and performance under pressure. However, specific details on teamwork, project management, or communication within a team context are not explicitly provided.