I implement various statistical methods and data visualizations on a daily basis to make sense of the large amount of data we gather and model. I have built analytical models and run computational models in fields ranging from heat transfer, fluid mechanics, optics, and climate change. By comparing model output to experimental data from multiple formats and multiple fields of physics and engineering, I have become experienced at organizing, quantifying, and displaying results and then using those results to gain novel insights into the system I am analyzing. Depending on the problem at hand, and the type of data, I use a combination of Python, R, MATLAB, SQL, and D3 to gather, store, analyze, and visualize data. Kaggle profile: www.kaggle.com/pjsugi

Data Scientist @ I am using novel sources of data to better understand the financial decisions of the underbanked in the developing world. Our goal is to build credit ratings for those who currently have no formal credit history, and are therefore locked out of the formal banking system. From August 2014 to Present (1 year 5 months) Analytics and Visualization Developer @ Along with one other software engineer, I built an analytics platform targeted to small-medium sized businesses that helped join, analyze, and visualize their disparate datasets. I was responsible for two major aspects of the system: 1) building the query processing system using Hive and Shark, and 2) building our interactive dashboards using Angular and d3. From May 2013 to July 2014 (1 year 3 months) Modeling Engineer @ I focused on modeling any aspect that related to the optics of the system. A key component was comparing optical modeling results to actual data from projects, and analyzing the differences to explain any discrepancies. Through understanding the differences between model and projects, we improved control of our system and improved the performance of our projects. From January 2011 to July 2012 (1 year 7 months) Associate Modeling Engineer @ As a member of the Modeling and Performance Testing group, I had two main responsibilities: 1) measuring and analyzing the performance of our CLFR system and 2) modeling two-phase flow (water/steam). To analyze the performance of our solar system, I built and ran models that included optical, fluid mechanics, heat transfer, controls, and structural elements. I used the models to understand how those elements interacted to affect the performance of the system, and thus improve the performance of the system. In addition to modeling, I wrote a set of data analysis scripts to analyze and visualize the daily and long-term performance of our system. From April 2010 to December 2010 (9 months) R&D Mechanical Engineer @ Built multiple physical models related to solar thermal systems. - Steady state heat transfer model to predict thermal efficiency for Sopogy's parabolic trough system - Ray tracing program to analyze optical efficiencies of various solar thermal systems - Genetic algorithm to find the minimum levelized cost of electricity - CFD model to determine the wind load for parabolic troughs in multiple orientations From July 2008 to March 2010 (1 year 9 months) Intern @ Ran a set of experiments to evaluate a closed-loop recycling system long-duration spaceflights and planetary missions. Measured the amount of waste recovered while varying multiple test parameters. From June 2004 to August 2004 (3 months)

M.S., Physical Oceanography @ Massachusetts Institute of Technology From 2005 to 2008 B.S., Mechanical Engineering, Physics (minor) @ University of California, Berkeley From 2001 to 2005 Peter Sugimura is skilled in: Matlab, Python, SQL, Regular Expressions, Fluid Mechanics, Heat Transfer, Data Analysis, Optics, SolidWorks, COMSOL, Solar Thermal, MongoDB, AngularJS, Lithium (PHP framework), Amazon Web Services (AWS), D3