Lin Peng
About Lin Peng
Lin Peng is a Senior Data Scientist at Delivery Hero in Berlin, Germany, with extensive experience in data science and research roles across various companies and academic institutions.
Title
Lin Peng holds the title of Senior Data Scientist and currently works at Delivery Hero in Berlin, Germany.
Professional Experience at SecurityScorecard
Lin Peng served at SecurityScorecard in various capacities. Beginning as a Data Scientist from 2021 to 2022 in Toronto, Ontario, Canada, Lin transitioned to a Senior Data Scientist role from 2022 to 2023. Later, Peng advanced to the position of Staff Data Scientist in 2023, completing a four-month tenure. In these roles, Lin tackled diverse data science projects and initiatives, honing skills in data analysis and predictive modeling.
Professional Experience at Miksi
Lin Peng co-founded Miksi and served there for four months from 2020 to 2021 in Toronto, Ontario, Canada. In this role, Lin worked on entrepreneurial ventures, exploring the intersection of business and technology through data-driven solutions.
Professional Experience at RBC
Lin Peng worked as a Data Scientist at RBC in Toronto, Ontario, Canada. The experience included two separate terms: first, between 2019 and 2020 for nine months at 310 Front St, and second, a shorter three-month stint in 2020. During these periods, Peng was involved in various data science projects, focusing on optimizing business operations and enhancing data-driven decision-making processes.
Educational Background
Lin Peng has an extensive educational background in Chemical Engineering. Lin attained a Master's degree from the University of Toronto, with studies spanning from 2016 to 2019. Prior to that, Peng obtained an Engineer's Degree in Chemical Engineering Coop from the University of Alberta, completing the program from 2010 to 2015. This solid educational foundation provided Lin with the analytical skills and technical knowledge essential for a successful career in data science.
Exploratory Projects and Research
Lin Peng has engaged in several exploratory projects and research endeavors. Notably, Lin developed a project that examines the connection between mathematical rules in quantitative trading and human social rules. Investigations have also included applying game theory to explain morals, ethics, and romantic relationships, automating pattern discovery in large datasets, and exploring parallels between Fourier Transform and social interactions. Lin's interest lies in simplifying realities and critically analyzing patterns in data.