Mikhail Lara

Mikhail Lara

Staff Data Scientist @ Kohl's

About Mikhail Lara

Mikhail Lara is a Staff Data Scientist at Kohl's with over 10 years of experience in technical R&D projects and expertise in probabilistic record linkage, scientific computing, and applied statistics.

Current Position at Kohl's

Mikhail Lara is currently working at Kohl's as a Staff Data Scientist, a position he has held since 2022. His role involves leveraging his extensive background in data science to support various data-driven projects and initiatives within the company.

Previous Experience at Target

Mikhail Lara previously worked at Target as a Lead Data Scientist from 2018 to 2022. During his tenure, he played a significant role in analyzing data to derive insights and support business decisions. His work contributed to optimizing various business processes and improving customer experiences.

Educational Background

Mikhail Lara holds a Master of Science (M.S.) degree in Mechanical Engineering from the Georgia Institute of Technology, which he completed between 2012 and 2014. He also earned a Bachelor’s degree in Mechanical Engineering & Biomedical Engineering from Carnegie Mellon University, where he studied from 2006 to 2010.

Early Career and Research Roles

Mikhail Lara began his career as an Undergraduate Engineering Researcher at Ontogenic Cardiovascular Fluid Mechanics Lab from 2008 to 2010. He then served as a Graduate Engineering Researcher at both the Artificial Heart and Cardiovascular Fluid Dynamics Lab and Multiscale Integrated Thermofluidics Laboratory. These roles were instrumental in building his foundation in engineering research.

Expertise in Data Science and Engineering

Mikhail Lara possesses substantial expertise in probabilistic record linkage, focusing on string similarity and graph theory. He is skilled in scientific computing, particularly physics-based simulations and linear algebra. Additionally, he has applied statistics experience, with an emphasis on hypothesis testing, performance monitoring, and A/B testing. His proficiency in relational database design has further enhanced his data management capabilities.

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