Responsibilities include:

• Performed research and statistical analysis for education, health, and labor projects under Drs. Lisa Barrow, Diane Alexander, Bhashkar Mazumder, and Camilo Garcia
• Developed a browser automation program for use in web scraping
• Used R, Python, and Stata for data cleaning and analysis

Responsibilities include:

• Provided statistical analysis using R for a study under Dr. David Howard in conjunction with the Centers for Disease Control (CDC) to analyze the impact of cancer diagnoses on labor force participation
• Participated in weekly course covering best practices in research, research report writing, and grant acquisition

Responsibilities include:

• Worked with Dr. Paloma Lopez de mesa Moyano to aid students in connecting Econometric theory to coding skills in R
• Held weekly office hours to coach students in assignments and general application of R

Responsibilities include:

• Manipulated large financial datasets while working extensively with Microsoft Excel and S&P Capital Intelligence
• Research, including work with US International Trade Commision data, published in two initiating coverage reports
• Worked directly with data science team to kickstart sentiment analysis and satellite imagery projects

Responsibilities include:

• Worked with Dr. Maria Arbatskaya to supplement students’ understanding of advanced microeconomic concepts such as Game Theory, Firm Behavior, and Profit Maximization
• Held weekly office hours to directly communicate with and mentor students, assisted in grading

Responsibilities include:

• Worked under Dr. Caroline Fohlin to compile a database of most relevant statistics of 1933 New York Stock Exchange securities using balance sheet, income account, and capital stock data
• Analyzed Moody’s manuals and worked with Microsoft Excel to organize and assess financial data

Responsibilities include:

• Synthesized 500+ sets of donor information into usable data for a congressional campaign
• Developed an efficient system for analyzing individual donor history and predicting likelihood of securing future funds