Michelle Do
About Michelle Do
Michelle Do is a Data Analyst specializing in Ad Tech, currently employed at adMarketplace in New York since 2020. She has a background in data science and analytics, having previously worked at Correlation One, The Tour Guy, and Drexel University.
Work at adMarketplace
Currently, Michelle Do serves as a Data Analyst in the AdTech sector at adMarketplace. She has held this position since 2020, contributing to various data-driven projects aimed at optimizing advertising strategies. Her role involves developing automated solutions for reporting and analysis, as well as forecasting key performance metrics for advertising campaigns. Michelle's work supports business stakeholders in making informed decisions based on data insights.
Education and Expertise
Michelle Do earned a Master of Science in Business Analytics/Statistics from Drexel University, completing her studies from 2018 to 2020. Her academic background provides her with a solid foundation in data analysis and statistical methods, which she applies in her professional roles. This educational experience is complemented by her practical work in data science and analytics across various organizations.
Background
Michelle has a diverse professional background in data analysis and science. She began her career with internships and fellowships, including a Data Science Internship at The Tour Guy in 2019 and a Data Science Fellowship at Correlation One in 2021. Additionally, she worked as an Analytics Consultant and Graduate Research Fellow at Drexel University, where she gained valuable experience in applying data analytics to real-world problems.
Achievements in Data Analytics
In her role as a Data Analyst, Michelle has developed an automated pricing pipeline that predicts winning bids in online ad auctions. She also retrains machine learning models to enhance prediction accuracy for conversion rates, utilizing various features such as traffic referrer and ad type. Furthermore, she conducts scenario analyses to evaluate the impact of different investment strategies on revenue and performance.
Technical Skills and Tools
Michelle is proficient in using Python and SQL for automating reporting and analysis tasks. She employs these programming languages to streamline processes and improve efficiency in data handling. Her technical skills also extend to forecasting daily click volumes and revenue, as well as analyzing budget requirements for specific accounts and business lines.