Adisun Wheelock

Adisun Wheelock has a diverse work experience in the field of data engineering and analysis. Starting in 2014, they worked as an Automation Engineer at Keurig Green Mountain, Inc., where they were responsible for architecting and maintaining coffee processing data and developing interactive graphs for production efficiency. In 2016, Adisun joined IBM as a Data Scientist and Python Developer, where they used data analytics, visualization techniques, and machine learning algorithms to identify and detect anomaly fail behavior in processor fail data. They then moved to Clear Street in 2019, where they initially served as a Data Engineer, leading a team in creating the company's data platform and piloting the adoption of Snowflake as the data warehouse solution. They later took on the role of Senior Data Engineer, proposing and designing a standardized methodology for data pipeline creation, which has been adopted firm wide.

Adisun Wheelock graduated from the University of Vermont with a Bachelor of Science degree in Electrical and Electronics Engineering. This degree was obtained from 2013 to 2016. In addition to the degree, Adisun also obtained several certifications. These certifications include: IBM AI Skills Academy Technical Practitioner from IBM in May 2019, Convolutional Neural Networks from Coursera in January 2019, Structuring Machine Learning Projects from Coursera in December 2018, AI Technical Accelerator from IBM in August 2018, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from Coursera in August 2018, Neural Networks and Deep Learning from Coursera in August 2018, Applied Data Science with Python - Level 2 from IBM in June 2018, Applied Machine Learning in Python from Coursera in January 2018, Applied Plotting, Charting & Data Representation in Python from Coursera in December 2017, and Introduction to Data Science in Python from Coursera in November 2017.