My name is Sebastian Perez Saaibi, and I'm currently a Director of Data Science at Phreesia, the leader of patient intake in the US. I have 10+yrs of experience as Data Scientist, in both IC, startup founder and technical management roles across different industries such as mining, finance, retail and healthcare.
I enjoy building teams of Data Scientists, Machine Learning Engineers and Data Engineers to come up with products that solve complex organizational challenges. I also enjoy mentoring technical managers and data scientists.
I'm based in NYC and really look forward to share what I've learned in this journey while learning from others in the Plato network.
Sebastian is not available in the next 4 weeks.
Director of Data Science
Aug 2018 - current
Lead Phreesia's Data Science and Machine Learning strategy and vision.
\- Attract, hire, mentor and grow a team of Machine Learning Engineers, Data Scientists and Data Engineers (10+)
\- Provide thought leadership to internal and external business executives.
\- Hands-on data product building, algorithmic selection, model validation and evaluation of Phreesia's ML production services.
\- Set an open, collaborative, educational, hands-on team culture that works cross-functionally with other business units.
\- Build and promote the data science competencies and growth framework
Data Science and Machine Learning Mentor
Aug 2018 - current
Provide guidance and advice to emerging technical leaders in data science and machine learning
May 2015 - Jun 2015
Conceptualize, design and create the Introduction to Machine Learning course: https://www.datacamp.com/courses/introduction-to-machine-learning-with-r
Curation and edition go the Intermediate R course.
Advisor in Data Science Hiring.
Universidad de los Andes
Jan 2015 - Jun 2015
Teaching, co-designing and providing materials for the following courses:
Herramientas Computacionales (Computational Tools): Basic introduction to computational tools for physicists, mathematicians and geoscientists. See repo https://github.com/jngaravitoc/HerramientasComputacionales
Métodos Computacionales (Computational Methods): Intro to the most common and useful Computational Methods for physicists, mathematicians and geoscientists. See repo https://github.com/forero/ComputationalMethods
Edmond J. Safra Network Fellow
Jul 2012 - Aug 2013
Use networks and graph theory to model and monitor corruption in Colombia's largest corporations, as well as identify potential revolving doors between corporations and government officials. Contribute with data science events such as the iCorruption Hackathon 2015.
CEO and Co-Founder | Chief Data Scientist
Jan 2012 - Dec 2014
Aentropico brings the power of Predictive Analytics to the hands of every business owner with simple and user-friendly DataApps.
Complexity Scientist Enthusiast
Aug 2011 - Dec 2011
Complex System based Quantitative research. Use tools from Statistical Physics to develop robust risk assessment schemes.
Quantitative Analyst: Trading Strategies R&D
Aug 2010 - Aug 2011
Member of macxred's research team for Quantitative, High-Frequency Trading Systems. Design, testing and implementation of portfolio-based risk mitigation schemes. Promote the design of an automated strategy selection mechanism. Implement robust asset allocation and Regime-based Trend Following strategies.
MSc. Thesis in Econophysics
Mar 2010 - Jul 2010
MSc. Thesis "Dynamic Risk Diversification in Portfolio Optimization" 5.75/6.00.
4th R/Rmetrics Computational Finance Workshop.
2nd BaselR User Group Conference
Title: "R/Rmetrics Motion Chart Generator"
Manteinance Engineer, BHP Billiton's Graduate Program.
Apr 2008 - Aug 2008
Mine Maintenance. BHP Billiton’s Graduate Program.
\* Statistical Analyses directed toward the reduction of the time between component failure (MTBF).
\* Close monitoring of the the electromechanical condition of the entire Caterpillar heavy-duty ﬂeet.
Visiting Researcher (Intern)
University of Maryland, College Park
Jun 2006 - Aug 2006
Invited by Prof. Dr. Elisabeth Smela to participate in a Research Project called “Cost reduction and characterization of Compliant Electrodes”.
Advisor: Remi Delille, MSc. Project Director: Prof. Dr. Elisabeth Smela. Laboratory for Microtechnologies , University of Maryland, College Park, MD, USA.