Shani Offen is a high-level expert, that works in Spotify as a Head of Machine Learning Engineering, Free Revenue at Spotify since 2018. This person gained professional experience in more than 12 positions at different companies. Shani Offen went to the New York University and got education from 2002 to 2008. Shani Offen has these qualifications: Machine Learning, An Introduction To Interactive Programming In Python, and Coursera. New York, New York is the city, where the professional was known to live. Shani's e-mail and phone can be easily accessed through this website on demand.
Name variants:
Shani Offen
Last updated Jun 18, 2024
Contact Information
Last Update
Jul 11, 2022
Email
sh**@gmail.com, sh**@gmail.com
Location
New York, NY
Company
Spotify
Workplace
Head of Machine Learning Engineering, Free Revenue at Spotify
Work History
Head of Machine Learning Engineering, Free Revenue at Spotify
I built my team from a small group of engineers working on ad-hoc projects to a 25-person machine learning department that powers all the decisioning, optimization and personalization for th...
from Sep 2018
Director of Data Science
1500 Broadway, New York, NY 10036
About UsAbout.com (an IAC company) is the largest source for Expert content on the Internet that helps millions of users answer questions, solve problems, learn something new or find inspira...
Jun 1, 2016 — Mar 2017
Data Scientist
55 Water St, New York, NY 10041
Sample Projects: Optimized job matching using predictive analytics and machine learning. Designed visualizations for recruiters and job seekers. Tools: Bayesian inference, random forests, D3
Jul 1, 2014 — Mar 1, 2015
Assistant Professor of Research
New York, NY
Sample projects: Patented medical device that assessed neurological integrity using relative variance of eye movements. Tools: time-series analysis, spectral decomposition, simulations, sign...
Jan 2013 — Jul 2014
Senior Research Scientist
New York, NY
Sample Projects: Correlated spectral energy of neural activity to determine pathways underlying cognitive function. Tools: time-series modeling with seed selection, simulations, general line...
Aug 2011 — Dec 2012
Research Scientist
New York, NY
Sample Projects: Generated novel images by sampling statistical distributions from collections of natural images. Tools: multi-scale filter banks, Bayesian inference, randomization tests, la...
Aug 2010 — Aug 2011
Graduate Student
New York, NY
National Science Foundation (NSF) Graduate Research Fellow National Institutes of Health (NIH) Predoctoral Research Fellow
Sep 2002 — Aug 2008
Education
2002 — 2008
1997 — 1999
1993 — 1997
Occupations
Executive
Director
IT Professional
Computer Software Professional
Team Leader
Engineer
Engineering Manager
Technology Manager
Operations Manager
Software Developers
Technical Managers
Skills
Neuroscience
Statistics
Research
Data Analysis
Machine Learning
Experimental Design
Python
Data Science
Computational Neuroscience
Scientific Writing
Science
Sql
Mathematical Modeling
Matlab
Programming
Cognitive Neuroscience
Experimentation
Fmri
Teaching
Statistical Modeling
Lifesciences
Public Speaking
Psychophysics
Neuroimaging
Grant Writing
Life Sciences
Linear Algebra
Problem Solving
Clinical Research
Imaging
Quantitative Analysis
Healthcare
Biotechnology
Optimization
Time Series Analysis
Public Health
Unsupervised Learning
Linear Regression
Linear Models
Numerical Linear Algebra
Logistic Regression