Eric Larose Email & Phone Number

Cincinnati, OH, US

Redmond, Washington, US

Redmond, Washington, US

Seattle, WA, US

• Demonstrated end-to-end ownership on various statistics and machine learning projects related to optimization of data center infrastructure. Partnered closely with product managers to develop and refine requirements.
• Served as science lead on a high-priority project involving 4 scientists to improve end-to-end forecasting of rack retirements over a 13-year horizon. Project involved time series, simulation, and operations research.
• Developed a linear programming optimization model that suggests reconfigurations of unused space in data centers to mitigate supply shortfalls. Worked with product managers to gain buy-in from data center planners and.
• Formulated, coded, and productionized a complex mixed-integer linear programming model to optimally select AWS server racks to retire or migrate, to alleviate capacity constraints in data centers over a 1-year horizon..
• Built a prototype time series ARIMAX model for forecasting the amount of power required per customer EC2 instance in server racks, a critical input into long-term planning systems. In backtesting, the model had roughly.
• Helped develop team from 2 to 8 data scientists through hiring, onboarding support, and mentoring.

Mclean, VA, US

• Worked on various projects incorporating data-driven approaches to help government sponsors solve problems in healthcare and national security.
• Developed a name entity recognition model to recognize company names by training on sentences from 80,000 news articles, improving the model’s F1 score by 6 percentage points relative to an out-of-box model. Model was.
• Used SQL and Python to analyze temporal network data and create visualizations showing the movement of corporate executives across companies over time.
• Conducted testing and evaluation of business intelligence tools, including Tableau and Power BI, for purposes of data visualization, management, and federation.

Washington, District Of Columbia, US

• Assisted with research projects related to economic development and water quality in rural communities throughout the United States.
• Analyzed the results of an RCAP survey of rural water systems to understand how their finances and operations are being affected by the COVID-19 crisis.
• Built interactive maps in Leaflet to visualize the locations of RCAP projects and the availability of economic development resources for small communities.
• Researched data sources and compiled county-level data on various demographic and economic factors for a research project with the Organization for Economic Cooperation and Development (OECD).
• Wrote code to extract data from technical, managerial, and financial assessments of water systems before and after RCAP-sponsored projects, and determine in which areas RCAP is making the greatest impacts.

Washington, DC, US

• Served as a teaching assistant for Foundations of Data Science class at the McCourt School of Public Policy, taught by Professor Eric Dunford.
• Helped the professor develop the curriculum, teaching materials, and homework assignments on data science fundamentals, including Python programming.
• Answered students' questions regarding course content.

Washington, DC, US

• Assisted with various research projects at Georgetown University's Massive Data Institute (MDI), a research center using big data to improve policy making.
• Worked with the Leadership Now Project to use FEC data on campaign contributions to calculate the extent of political donations by Russell 1000 corporations (through employees and PACs) over the past ten years.
• Scraped the campaign websites of candidates for 2020 U.S. Senate races, to conduct text analysis and create a measure of ideologies of each candidate.
• Worked with scholars at the Brookings Institution to look at eviction risks among D.C. households as a result of the COVID-19 crisis and calculate the costs of helping at-risk households stay afloat.

Washington, DC, US

• Served as a graduate assistant to Dr. Raphael Calel, Assistant Professor at the McCourt School of Public Policy.
• Proofread and edited environmental economics papers.
• Compiled data on enforcement of non-compliance with emissions standards in countries in the European Union.
• Wrote an algorithm to find the shortest possible way to connect wind turbines to the nearest electrical substations.

Richmond, VA, US

• Worked closely with Fed economists on academic research to both inform monetary policy decision-making andproduce papers for peer-reviewed journals. Papers published in top economics journals including Journal.
• Cleaned, aggregated, and analyzed business establishment microdata with over 600 million observations in Stata,SQL, and R, to research evolution of market concentration over time, firms’ location decisions, and spatial.
• Wrote complex macroeconomic models and coded models in MATLAB to explore model properties and solve for equilibria.
• Collected, cleaned, and merged data from over one dozen different sources relating to the housing market, wages, and commuting patterns in metropolitan Detroit, including parcel-level assessment data, to build an.

Richmond, VA, US

• Assisted research and editorial staff with the preparation, editing, and fact-checking of papers on economic issues to be published in both academic journals and magazines intended for a broader audience.
• Wrote and published a feature article in Econ Focus, a quarterly publication of the Federal Reserve Bank of Richmond, as well as five shorter columns. Topics of articles included helicopter money, policy changes to.
• Reviewed and analyzed recent literature in academic journals on topics including unconventional monetary policy, tax incentives, and effects of trade on labor markets.