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Jacob Feintzeig

Postdoctoral Fellow, Nuclear/Particle Physics @ Lawrence Berkeley National Laboratory

Data Scientist

San Francisco Bay Area

Ranked #1,233 out of 24,660 for Postdoctoral Fellow, Nuclear/Particle Physics in United States

Section title

Jacob Feintzeig's Email Addresses & Phone Numbers

Jacob Feintzeig's Work Experience

Lawrence Berkeley National Laboratory

Postdoctoral Fellow, Nuclear/Particle Physics

January 2015 to November 2015

Berkeley, CA

Colegio Americano de Quito

Physics Teacher

2009 to 2010

Quito, Ecuador


Data Scientist

San Francisco Bay Area

Jacob Feintzeig's Education

Dartmouth College

Bachelor of Arts (B.A.), Physics, Environmental Studies

2005 to 2009

University of Wisconsin-Madison

Master of Science (M.S.), Physics

2010 to 2012

University of Wisconsin-Madison

Doctor of Philosophy (Ph.D.), Physics

2010 to 2014

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About Jacob Feintzeig's Current Company

Lawrence Berkeley National Laboratory

I was a Physics postdoctoral fellow searching for a rare nuclear decay with a cryogenic experiment (CUORE). I built a Monte Carlo simulation of heat propagation in crystals, developed outlier detection algorithms for time series data from a sensor array, and worked on a real-time data monitoring web app.

Frequently Asked Questions about Jacob Feintzeig

What company does Jacob Feintzeig work for?

Jacob Feintzeig works for Lawrence Berkeley National Laboratory

What is Jacob Feintzeig's role at Lawrence Berkeley National Laboratory?

Jacob Feintzeig is Postdoctoral Fellow, Nuclear/Particle Physics

What is Jacob Feintzeig's personal email address?

Jacob Feintzeig's personal email address is j****[email protected]

What is Jacob Feintzeig's business email address?

Jacob Feintzeig's business email addresses are not available

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What industry does Jacob Feintzeig work in?

Jacob Feintzeig works in the Internet industry.

Who are Jacob Feintzeig's colleagues?

Jacob Feintzeig's colleagues are Alexander Thiemann, David Schreiber, Daniel Nicholls, Ben Guo, Marie Fuchslin, Alex Knittel, Mikito Takada, Yu-Hsin L., Hemochen An, and Zack Hsi

About Jacob Feintzeig

💼 Past Experience

Jacob Feintzeig's duties as a data scientist at Stripe:1. Help go-to-market teams better serve their users by building internal data products, ML models, and analysis. 2. A few projects I've worked on: - Creating a centralized data source about prospective customers - Building data pipelines, developed ML models (xgboost, NLP) for lead scoring - Working with stakeholder teams to use the data to power Sales/Marketing activities - Developing customer segmentation used throughout company - Completed data analysis that exploited natural processes to calibrate sensors embedded in Antarctic Ice Sheet - Completed statistical analyses on astrophysical neutrinos - Traveled to South Pole, Antarctica and worked with engineers to operate $100M physics detector 3. Mentored and trained undergraduate and new graduate students in Python, statistical methods, data analysis.

🎓 Education

Jacob Feintzeig's EducationJacob Feintzeig has a B.A. from Dartmouth College, where he studied physics. Jacob then attended the University of Wisconsin-Madison, where he earned a Master of Science in physics in 2010. Doctor of Philosophy degrees were earned in 2012 and 2014 at the University of Wisconsin-Madison.

💡 Technical & Interpersonal Skills

Jacob Feintzeig's Technical skills:Jacob Feintzeig has a B.S. in Physics from McGill University. As a Postdoctoral Fellow, he spent 11 months in Berkeley, California, where he worked on data analytics and engineering problems. While in Berkeley, he also taught Physics at Colegio Americano de Quito, in Ecuador. While at Stripe, he helped go-to-market teams better serve their users by building internal data products,ML models, and analysis. In San Francisco Bay Area, he also led the Revenue Forecasting & Analytics team, a small team of data scientists focused on predicting Twitter's revenue. Finally, he was a Research Assistant at the University of Wisconsin-Madison, where he developed a statistical model to infer properties of particle collisions and improved prediction accuracy by 25%. All of these technical skills have helped him to develop a strong technical background and work experience in data analysis, engineering problems, and marketing.

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In a nutshell

Jacob Feintzeig's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 6 month(s)

Jacob Feintzeig's Willingness to Change Jobs



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