Analysts
Senior Analyst
Zacharia Schell
Zacharia Schell joined CD after graduating magna cum laude with a Bachelor of Arts Degree in Economics & Business Administration from Gordon College in 2021. During his studies, he cultivated his passion for research and the truth that it reveals as well as his love for data and statistics.
While at CD, Zacharia has demonstrated and honed his skills in data cleaning and analysis. Along with the models he has taken charge of, his attention to detail and care for consistency have made him a valuable resource to the team when creating exhibits and drafting report text used in litigation. In addition to this, Zacharia has also stepped up to lead data analysis for research papers and has taken on an additional role in the training of new hires as well as the day-to-day activities of the team.
Zacharia’s plan for the future is to continue to lead, both technically and interpersonally, within the analyst group. Eventually, he plans to continue his studies in the legal and business sectors, with a hope to apply his analytical skills to solving problems that matter to him.
Analyst
Aarjan Rupakheti
Aarjan Rupakheti joined CD after graduating in 2022 from Boston College (BC) with an M.S. in Applied Economics with a Data Analytics Certificate. He also holds a B.A. in Quantitative Economics with a Math minor from Dickinson College.
At Dickinson, Aarjan undertook labor market research to understand the effects of low skilled immigration on native unemployment conditions across metropolitan areas in the U.S. He used fixed effect regression models to understand how influx of immigrants had varying effects in areas with different labor market conditions. Aarjan also interned as a Research Analyst at Burning Glass Institute where he researched the present conditions and prospects of human capital demand for Electric Vehicle growth for the Executive Office of the President of the United States (POTUS).
Aarjan is interested in econometrics, industrial organization, and the intersection of game theory and machine learning. At CD, he hopes to enhance his data handling, economic modeling, and project management skills in a professional setting. He is interested in pursuing a PhD in Economics, focusing on Industrial Organization.
Analyst
Sudarshan Bashyal
Sudarshan Bashyal joined CD after graduating with a Master of Science degree in Economics from Tufts University in 2023. He also holds a Bachelor of Arts in Economics and a Bachelor of Science in Mathematics from Howard University.
As part of his master’s degree, Sudarshan wrote a thesis titled “Birthyear environment and adult life outcomes for females: evidence from Nepal”. Using historical rainfall and temperature data and matching it with survey data, he investigated how weather shocks in early stages of life affect long run human capital outcomes.
During his matriculation at Howard University, Sudarshan served as the president of the Abram Harris Economics Society and led the Howard team at the National College FED Challenge. Sudarshan also interned at Morningstar, Inc. where his team conducted research and analyzed the expansion of the company’s services to private markets.
Sudarshan is interested in econometrics, applied microeconomics, development economics and data analysis. At CD, he hopes to further his research capabilities in data analysis, statistical modelling and report writing, as well as to hone his leadership and project management skills.
Analyst
Shuhan Yang
Shuhan Yang joined Competition Dynamics after completing her Master of Quantitative Economics degree at University of California, Los Angeles. She also holds a bachelor’s degree in Economic Science from The Chinese University of Hong Kong, Shenzhen.
During her time at UCLA and CUHKSZ, Shuhan worked on a wide range of economic research projects, including one examining the relationship between Uber entry and public transit ridership using double machine learning methods. By combining panel data analysis with machine learning techniques, the project explored how ride-sharing services interact with public transportation systems and how these effects vary across cities and demographic groups. Through this work, she strengthened her ability to integrate modern machine learning approaches with econometric methods to conduct rigorous empirical analysis.
In addition to her academic research, Shuhan has worked as an economics tutor, helping students understand topics in microeconomics, econometrics, and statistics. She enjoys explaining economic theories in a simple and intuitive way and tailoring her teaching approach to different learning styles.
Shuhan’s academic interests include game theory, behavioral economics, mechanism design, information economics, and the intersection of economics and machine learning. At CD, she hopes to further strengthen her data analytical and research skills while contributing to a wide range of economic and quantitative projects.
