Department of Community Development and Applied Economics (CDAE)
BIO
As a Ph.D. student, I possess a profound mastery of both theoretical and applied aspects of the field, with a special focus on microeconomics and macroeconomics. My academic and professional journey is marked by a deep engagement in data analysis, econometrics and an extensive exploration of economic theories. I bring a nuanced understanding of econometrics and a proven track record in sophisticated data analytics, drawing from hands-on experience in managing large datasets and employing advanced statistical techniques. My expertise also extends to the practical application of machine learning, web scraping, and big data analysis; skills sharpened through rigorous academic research and real-world projects. Notable endeavors include leading data science projects to analyze and predict user intentions from textual data and dissecting operational errors across data centers to manage strategic risk. I'm particularly adept at transforming complex economic and statistical concepts into actionable insights, a skill substantiated by my experience in developing machine learning models for classification and conducting an in-depth analysis of consumer behavior regarding renewable energy. My projects, like measuring consumer willingness to pay for renewable energy and investigating the dynamics of international trade disputes, exemplify my capacity to apply economic principles and data analysis to address real-world challenges. Eager to contribute my analytical prowess and econometric acumen, I am looking for a challenging role in business or an internship where I can leverage my quantitative skills to drive informed decision-making and foster data-driven strategies. No Visa sponsorship is needed.
Area(s) of expertise
Machine Learning • Python (Programming Language) • Data Science • Statistical Modeling • Logistic Regression
Bio
As a Ph.D. student, I possess a profound mastery of both theoretical and applied aspects of the field, with a special focus on microeconomics and macroeconomics. My academic and professional journey is marked by a deep engagement in data analysis, econometrics and an extensive exploration of economic theories. I bring a nuanced understanding of econometrics and a proven track record in sophisticated data analytics, drawing from hands-on experience in managing large datasets and employing advanced statistical techniques. My expertise also extends to the practical application of machine learning, web scraping, and big data analysis; skills sharpened through rigorous academic research and real-world projects. Notable endeavors include leading data science projects to analyze and predict user intentions from textual data and dissecting operational errors across data centers to manage strategic risk. I'm particularly adept at transforming complex economic and statistical concepts into actionable insights, a skill substantiated by my experience in developing machine learning models for classification and conducting an in-depth analysis of consumer behavior regarding renewable energy. My projects, like measuring consumer willingness to pay for renewable energy and investigating the dynamics of international trade disputes, exemplify my capacity to apply economic principles and data analysis to address real-world challenges. Eager to contribute my analytical prowess and econometric acumen, I am looking for a challenging role in business or an internship where I can leverage my quantitative skills to drive informed decision-making and foster data-driven strategies. No Visa sponsorship is needed.
Areas of Expertise
Machine Learning • Python (Programming Language) • Data Science • Statistical Modeling • Logistic Regression