Karan Dave
About Karan Dave
Karan Dave is a Data Scientist with experience in developing automated ETL pipelines and implementing data-driven models. He has worked at GreenLight Biosciences and currently works at Quadient, contributing to significant cost savings and revenue growth through his analytical skills.
Work at Quadient
Karan Dave has been employed at Quadient as a Data Scientist since 2022. In this role, he focuses on analyzing data to enhance decision-making processes and improve operational efficiency. His responsibilities include creating dashboards and reports to track key performance indicators (KPIs) and identify trends within Postal & Mailing systems. This position allows him to leverage his expertise in data science to contribute to the company's strategic goals.
Previous Experience at GreenLight Biosciences, Inc.
Karan Dave previously worked at GreenLight Biosciences, Inc. first as a Data Science Intern from 2020 to 2021, and later as a Data Scientist from 2021 to 2022. During his internship, he developed automated ETL pipelines using Python scripts, which significantly reduced manual work by over 10 hours weekly. He also utilized K-Means clustering to assist the marketing team in prioritizing partners, resulting in substantial cost savings. As a Data Scientist, he implemented a risk assessment model for franking machines using Logistic Regression, achieving a precision rate of 92%.
Education and Expertise
Karan Dave holds a Master's degree in Computer Science from North Carolina State University, where he studied from 2019 to 2021. He also earned a Bachelor of Technology in Computer Engineering from Narsee Monjee Institute of Management Studies, completing his studies from 2015 to 2019. His educational background provides a strong foundation in data analysis, programming, and machine learning techniques.
Achievements in Data Science
Throughout his career, Karan Dave has achieved notable results in data science. He identified cross-sell opportunities that led to a 14% increase in new customers and generated $1 million in revenue growth. His work in developing automated processes and risk assessment models demonstrates his ability to apply data science methodologies to real-world business challenges.