Nate Lawrence is an experienced data scientist seeking new opportunities. He has over 7 years of experience using MATLAB and 1 year using Python tools like Pandas and Scikit-Learn. As a Fellow at The Data Incubator, he built a personalized restaurant recommendation engine. As a Staff Scientist at Philips Lumileds, he built and refined LED models and analyzed experimental data. He holds a Ph.D. in Electrical and Computer Engineering from Boston University.

1. Nate Lawrence, Ph.D. 2645 Polk St, San Francisco, CA 94109
Phone: (919) 946 7316
natetlawrence@gmail.com
Experienced scientist, eager to apply quantitative analysis skills to exciting new projects.
Skills
▪ Python: 12 months experience. Numpy, Scipy, Pandas, Sci-kit Learn and web-scraping
▪ MATLAB: 7 years experience. Scientific computing, regression, exploratory data analysis and communication
▪ Amazon Web Services: Elastic Compute and Elastic Map Reduce
▪ Machine Learning: Performed classification and regression on real-world data sets
▪ SQL: 9 months experience
▪ Hadoop/Pig: Processed network database, 0.5TB in size
Experience
Fellow, The Data Incubator, San Francisco, CA March 2016 - May 2016
▪ Awarded competitive fellowship (2% acceptance rate) to participate in 2-month data science intensive
▪ Conceived of and implemented personalized restaurant recommendation engine, foodsense1
▪ Built a portfolio of analysis projects using machine learning and real-world datasets
Staff Scientist, Philips Lumileds, San Jose, CA September 2013 - Present
▪ Served as lead modeling scientist on cross-functional teams for mission critical projects
▪ Built and refined models of light-emitting-diodes (LEDs) to streamline research and design
▪ Designed, supervised and analyzed output of complex experiments testing novel LED technologies
▪ Performed statistical analysis (A/B tests) of LED data and communicated results to business teams
Graduate Research Assistant, Boston University, Boston, MA September 2008 - September 2013
▪ Taught senior level engineering classes with 100+ students
Education
Ph.D. Electrical and Computer Engineering, Boston University, Boston, MA September 2013
▪ Authored more than 20 peer reviewed papers and proceedings
▪ Delivered more than 10 talks at engineering conferences
▪ Ph.D. thesis in the field of photonics
M.S. Electrical and Computer Engineering, Boston University, Boston, MA May 2012
B.S. Physics, University of Richmond, Richmond, VA May 2008
▪ Minor in math
Personal
▪ While living in Boston I raced with the BU Cycling team, now I mountain bike in the hills around the bay area
▪ I played classical and jazz saxophone for 12 years