Johan Halim
About Johan Halim
Johan Halim is a Data Scientist Fellow at SharpestMinds, where he has worked since 2021. He specializes in using Random Forest algorithms to predict future demand based on eCommerce sales data.
Work at SharpestMinds
Johan Halim has been serving as a Data Scientist Fellow at SharpestMinds since 2021. In this role, he focuses on applying data science techniques to solve real-world problems. His work involves utilizing advanced algorithms and statistical methods to analyze data and generate insights that inform business decisions. Over the course of three years, he has contributed to various projects that enhance the organization's data-driven strategies.
Education and Expertise
Johan Halim studied at California State University-Fullerton, where he earned a Bachelor's Degree in Accounting. His academic journey spanned one year, from 2012 to 2013. In addition to his formal education, he is self-taught in SQL and Python, having utilized online resources and platforms like Data Camp to develop his programming skills. His expertise includes the application of Random Forest algorithms to predict future demand based on eCommerce sales data.
Background
Johan Halim has a diverse background that combines formal education in accounting with self-directed learning in data science. He has been mentored by a professional data scientist, which has further enhanced his technical skills and understanding of the field. His journey into data science reflects a commitment to continuous learning and professional development.
Achievements
During the pandemic, Johan Halim initiated a solo venture that involved selling products online. Within a span of less than six months, he successfully sold over one thousand products. This venture demonstrates his entrepreneurial spirit and ability to leverage eCommerce platforms effectively. Additionally, he has contributed to the distribution of products across 13 brick-and-mortar stores located in the United States, Canada, and Australia.