Supriya Jain, PhD Page *
Chicago, IL ***** Email: ************@*****.***
Phone: 630-***-****
Career Objective:
Seeking management roles in Data Science
Successful track record of implementing Data Science projects in Healthcare, with cross-team collaboration, use of new tools, including open-source, and attention to Scalability and Automation
Strong leadership and inter-personal communication skills Education:
Ph.D, Experimental Particle Physics, 2003 Fermi National Accelerator Lab (Fermilab) IL
(Thesis based on predictive modeling and advanced statistical analysis)
MS (Physics), with specialization in Electronics, 1997 University of Delhi, India Gold medalist, 1st rank out of 175 students
Technical Skills and Experience:
20+ years experience in machine learning, data mining, and statistics data analysis
20+ years experience in high-level object-oriented programming (10+ in C++, and 5+ in C#)
5+ years experience in Windows as operating system, and 15+ years experience in Linux/Mac
Machine learning tools: R open-source, commercial software from Microsoft
Relational database: SQL Server
Data Visualization and Reports: Tableau, Qlik, R
Scripting: Python, tcsh, bash
Other tools: Excel, Word, Powerpoint
5+ years experience with healthcare data
Areas of Expertise:
Machine-learning algorithms (Ensemble methods, Decision trees, Neural networks, Deep NN)
Creating actionable insights from Healthcare data
Enormous ability to adapt to new technologies:
Led research and implementation of open-source language – R – as the modeling tool
Transformed existing Data Science projects into Faster, Scalable implementations
Software development, maintenance, debugging, testing and review
Automation of projects both within team and cross-team
Led and successfully managed time-critical projects, at current job, and at 2 international physics experiments at Fermilab, US and CERN, Switzerland, by applying following principles
Systematic planning of steps for project-implementation
Careful identification of team-members' skills for effective delegation of tasks
Attention to detail for catching problems early on
Effective inter-personal communication with peers and management
Reviewed papers for Big Data Journal
Over 50 peer-reviewed physics-publications in international journals
Oral presentations in international conferences
Supriya Jain, PhD Page 2
Chicago, IL 60606 Email: ************@*****.***
Phone: 630-***-****
Leadership Experience:
Managing Data Scientist since 2016, with success in hiring and developing talent
As a Research Scientist at Fermilab, served in the following leadership roles
Leader of Data-Quality Group of 20 physicists at DZero experiment at Fermilab
Shift-captain in DZero Control-Room: sole supervisor of 10 shifters and a $300-million apparatus during 8-hour data-collection periods. Only the most trusted collaborators are made captain.
Chairperson of Women Scientists' and Engineers' Group at Fermilab Honors:
Waystar Value Award Winner, 2018
Recipient of Fermilab's LPC Travel Fellowship (2011) for visit to CERN (Switzerland), for collaborative research for the discovery of the Higgs boson.
Certificate of Achievement for “Captain Dedicated Shifter” at DZero, 2009.
Gold medal, University of Delhi (1997) for first rank in MS out of a class of 175 students.
Certificate of Merit (1992), All India Senior Secondary Certificate Examination, Std XII, for being among the top 0.1% of successful candidates in India; Gold medal for first rank in city.
Gandhi Centenary Scholarship (1990-1995) awarded by Steel Authority of India Limited. This scholarship is in recognition of excellent academic record at national level. Job Experience:
Current: Managing Data Scientist (2016 to present) – Waystar, Chicago, IL
Data Scientist (2014 to 2015) – Waystar, Chicago, IL
2003-2013: Research Scientist – resident at Fermilab, IL, and CERN, Switzerland, and representing University of Buffalo, NY (2010-2013); University of Oklahoma, OK (2003-2009)
Led successful projects in particle physics in two international experiments at Fermilab and CERN that culminated into the Discovery of the Higgs boson in 2012. My projects involved software development in C++ and application of state-of-the-art Machine Learning techniques on terabytes of data, with results published in leading Physics journals.