Northampton, Massachusetts, United States
I am a senior at Smith College, pursuing a double major in Quantitative Economics and Mathematical Statistics. I have internship experience in Data Science and Investment Banking. I am proficient in programming languages such as Python (pandas, scikit-learn), R (dplyr, tidyverse, ggplot2, random forest), Tableau (data visualization, dashboard creation), and Java. Additionally, I am skilled in using tools such as PowerPoint, Word, and Excel. I am passionate about the intersection of data science and finance. My expertise includes regression modeling, machine learning, time series analysis, financial modeling, algorithmic trading, and financial statement analysis. I am actively seeking opportunities in finance and data science, particularly in roles such as investment banking, quantitative trader, private equity, and data analysis.
· Held weekly office hours to provide individualized assistance to over 100 students by navigating them through questions related to economics, statistics, and mathematics.
Focusing on Financial Technology. Working in the Domestic Small Package Functional Team.
· Will use Natural language processing and data mining techniques to build a platform/app, which can automatically analyze corporate financial statements. · Will apply the techniques of data acquisition, data cleaning and data analysis to finance · Will use time series to analysis trends in financial indicators/ratios over time
· Researched and recommended potential M&A targets to clients seeking expansion in Asia, by comparing each target/company’s growth in EBITDA, shareholder structures, locations, etc. · Performed in-depth analysis of a target company including its key financial metrics, indicative valuation and shareholders information; and provided a summary of the auction process · Implemented and revised a discounted cash flow (DCF) model, adjusting for unexpected situations such as a plant fire and a potential competitor offer
· Worked cooperatively in a 3-member team to help the fictitious company, Energia, address real-world business challenges and boost its growth · Performed product mix analysis to identified promising opportunities within product lines and highlight focus areas · Gathered 50,000+ data through data crawling from posts on the social media platform RED, visualized customer profile based on location, age, gender, and keywords frequency with Excel and Python to research target consumer segments · Proposed evidence-based strategic plans to attract and retain consumers and drive business growth