About

Adeoluwa Oyewole, also known as Adé, is a Data Scientist and Data Engineer at Cisco with extensive experience in building and maintaining ETL pipelines, incorporating ML models, and deploying data products to stakeholders as consumable applications. He is currently working in the Digital Advanced Analytics group at Cisco, where he supports advanced analytics efforts by creating and maintaining ETL pipelines and incorporating ML models. Before joining Cisco, Adé worked as a Data Scientist and Machine Learning Engineer at Sonic Drive-In, where he developed an item-similarity model that integrates collaborative filtering and business-specific constraints to predict and index the performance of new products innovated at Sonic. He also designed an ETL pipeline and interactive dashboard to dynamically sample customers for research and curated an enterprise architecture for the implementation of Machine Learning Ops at Sonic. He has experience in programming using Scala and has worked with Databricks to develop interactive dashboards. Adé is a highly skilled professional with a Master of Science degree in Business Analytics from the University of Tulsa. He also holds a Master of Science degree in Petroleum Engineering and a Bachelor of Science degree in Petroleum Engineering from the same university. He has a strong technical background and is proficient in Data Engineering, Research Scientist, Data Scientist, ML, ETL, Databricks, Scala, CI/CD, Kubernetes, Integration, NLP, and SQL. Adé has 3.87 years of relevant experience in the industry and is known for his expertise in data analytics, machine learning, and data engineering. He is a self-starter with excellent problem-solving skills and has a proven track record of delivering high-quality results. Adé is a team player and has excellent communication skills, which enable him to collaborate effectively with cross-functional teams.