Lan Min
About Lan Min
Lan Min is a Data Science Researcher with a strong background in advanced analytics and machine learning. She holds a Master of Science in Statistics/Biostatistics from Yale University and has worked at notable companies including McKinsey & Company and Johnson & Johnson.
Work at Two Sigma
Currently, Lan Min serves as a Data Science Researcher at Two Sigma, a quantitative investment management firm based in New York, United States. Lan has been in this role since 2020, contributing to the firm's data-driven strategies and analytics. The position involves leveraging advanced analytics to address complex business challenges within the financial sector.
Education and Expertise
Lan Min holds a Master of Science in Statistics/Biostatistics from Yale University, where studies were completed from 2013 to 2015. Prior to this, Lan earned a Bachelor's degree in Biochemistry from Shanghai Jiao Tong University between 2007 and 2011. Lan possesses advanced skills in programming languages and tools, including Python, SQL, R, and Pyspark, and has expertise in natural language processing and machine learning model development using frameworks such as Tensorflow, Keras, and Pytorch.
Background
Lan Min has a diverse professional background in data analytics and research. Before joining Two Sigma, Lan worked at McKinsey & Company in various roles related to advanced analytics from 2016 to 2020. This included positions as a Senior Fellow and Specialist in Advanced Analytics. Additionally, Lan has experience as a Statistical Intern at Yale-New Haven Hospital and as an Analyst at Predilytics, A Welltok Company.
Professional Experience at McKinsey & Company
At McKinsey & Company, Lan Min held multiple positions focused on advanced analytics. From 2016 to 2018, Lan worked as a Fellow, contributing to analytics projects. In 2020, Lan served as a Specialist for a brief period. These roles involved applying data science techniques to solve client challenges in various industries.
Internship Experience
Lan Min gained early experience in data analytics through internships. In 2013, Lan interned in the Marketing Research Department at Johnson & Johnson in Shanghai, China. Additionally, in 2014, Lan worked as a Statistical Intern at Yale-New Haven Hospital, focusing on outcome research and evaluation. These internships provided foundational skills in data analysis and research methodologies.