• Recognized company-wide for refrigerant leak early detection algorithm, which was approved by the California Air Resources Board (CARB) to meet requirements for state mandated leak monitoring.• Build the core of Hussmann’s StoreConnect cloud-based data analytics platform installed at 200+ grocery stores nationwide by developing algorithms to detect and diagnose failures in commercial refrigeration systems.• Lead and mentor data science team, overseeing all analysis and algorithm development.

• Write production code to detect anomalies in time-series data of electrical, pressure, and temperature measurements that are indicative of refrigeration system problems using Python including NumPy and Scikit-learn packages.• Interfaced with reports team to design monthly executive level customer reports and periodic preventative maintenance reports for refrigeration technicians.

• Developed algorithms in Python to analyze data collected by Exxeno’s IoT cloud-based data infrastructure for commercial refrigeration systems.• Built algorithms to process high speed (3-12K points/sec) power signatures of mechanical equipment predicting motor failure and identifying wiring issues.• Calculated potential energy savings for recommended pressure changes in refrigeration systems and quantify savings achieved post-intervention.• Collaborated with front-end team to create periodic data summary reports for customers.

Part-time instructor of General Chemistry courses.

• Developed curriculum for an eight-week introduction to data science course for Hack Oregon's Hack University, which offers specialized classes related to building interactive data applications. • Weekly lectures include interactive exercises using IPython (now Jupyter) notebook.• Course materials available on GitHub: https://github.com/hackoregon/hack-university-data-science

• Responsible for data collection, analysis, and reporting for all plug load energy management studies and demand response programs implemented by ThinkEco during my tenure as the first data professional at the early-stage start-up.• Managed data collection: set guidelines for categorizing data streams, monitored for continuity of time-series power measurements uploaded to the SQL Server database, identified and acted to correct data stream errors in projects ranging from 20-200 plug load monitors.• Performed the quantitative analysis on data collected in these studies and programs, calculating energy savings or demand reductions achieved.• Wrote comprehensive reports for funding agencies, presented results at industry conferences, and created marketing materials based on case studies.• Collaborated with the business development/sales team to incorporate data visualizations into plug load energy savings opportunity presentations, and attended client meetings to provide my expertise.• Executed all aspects of a grant-funded study to deploy modlets (ThinkEco’s smart plug) in small businesses: recruited participants, installed modlet hardware, tracked data collection, presented results to participants, and reported to funding agency in addition to analyzing energy consumption.• Maintained and strengthened relationships with academic research partners on various projects.• Developed methodology for calculating demand reduction achieved by CoolNYC, a room air conditioner demand response program; methodology was independently validated by a third-party consultancy firm.

• Developed scientific content for all symposia and workshops in the programs “Physical Sciences & Engineering” and “Green Science & Sustainability”, with an emphasis on issues related to urban sustainability.• Prepared departmental budget; tracked revenues and expenses.• Coordinated steering committees comprised of leading scientists and policymakers.• Managed marketing staff and event coordinators to create, market, and execute scientific meetings.

• Studied slow dynamics of super-cooled liquids and gelling fluids. • Developed molecular dynamics simulations in C++ and ran simulations on a Linux cluster.• Used statistical mechanics methods to analyze data.• Visualized data using xmgrace, Mathematica and Visual Molecular Dynamics software.• Presented research results at national meetings and departmental seminars.

• Designed syllabus, planned and executed lectures for an intensive summer undergraduate course.• Wrote and graded homework assignments and exams.• Provided weekly evaluations of each student to Advising Dean.