Harrison Lam

Harrison Lam has worked in various data-centric roles, gaining experience in data analysis, data science, and data engineering.

Harrison began their career as a Data Analyst Intern at Xaltius in 2018, where they developed skills in web scraping, data mining, and data cleaning. Harrison also created scripts for written text summaries, search algorithms, and multiple web scraping tasks.

In 2019, Harrison joined Peak Brain Training as a Data Scientist, where they focused on analyzing data to improve brain training exercises. Harrison worked on expanding data points and handling unstructured data.

In 2020, they joined Arm as a Graduate Data Scientist, and later transitioned to a Data Scientist role. At Arm, they gained experience in utilizing data science techniques and tools to analyze large datasets.

Currently, Harrison is working at Mediahub Worldwide as a Data Scientist, a position they started in 2022. No end date was provided for this role.

Throughout their career, Harrison has demonstrated their proficiency in data analysis, data mining, data cleaning, and using data science techniques to extract insights from large datasets.

Harrison Lam completed their Master of Science (MS) degree in Physics with Mathematics from the University of Southampton. Harrison attended the university from 2015 to 2019. Additionally, they obtained several certifications related to reinforcement learning. In August 2020, they completed the "A Complete Reinforcement Learning System (Capstone)" certification from Coursera. In the same month, they also completed the "Reinforcement Learning Specialization" certification. In July 2020, they obtained the "Prediction and Control with Function Approximation" certification, and in June 2020, they obtained both the "Fundamentals of Reinforcement Learning" and "Sample-based Learning Methods" certifications, all from Coursera.