Emmanuel Kanu, M.Sc
About Emmanuel Kanu, M.Sc
Emmanuel Kanu is an Analytics Engineer at Health Catalyst, where he has worked since 2021. He has extensive experience in data analysis and visualization, with a strong background in geology and machine learning.
Work at Health Catalyst
Emmanuel Kanu has been employed at Health Catalyst as an Analytics Engineer since 2021. In this role, he applies his expertise in data analysis and visualization to support healthcare analytics initiatives. His work involves utilizing advanced data tools and techniques to derive insights that assist in decision-making processes within the organization.
Education and Expertise
Emmanuel Kanu holds a Master's degree in Predictive Analytics from Austin Peay State University. He also earned a B.Sc. in Geology and Mineral Exploration from the University of Ilorin. In 2020, he completed a certification in Machine Learning Career Track from Springboard, enhancing his skills in machine learning techniques. His educational background supports his proficiency in data analysis and visualization.
Background in Data Analysis
Emmanuel Kanu has extensive experience in data analysis, having worked in various roles across different organizations. He served as a Data Analyst at Weatherford International from 2006 to 2016 in Cameroon, and at Stelog Energy Group from 2016 to 2017 in Portharcourt, Nigeria. Additionally, he worked at Geoservices Nigeria Ltd (a Schlumberger Company) from 2002 to 2006. This diverse background has equipped him with a strong foundation in data analytics.
Technical Skills and Tools
Emmanuel Kanu is skilled in several data visualization tools, including Matplotlib, Seaborn, Tableau, and Power BI. He utilizes programming languages such as Python, SQL, and R for data wrangling and storytelling. His expertise extends to machine learning techniques, including Neural Networks, Natural Language Processing, and Recommendation systems, which he applies to solve industry challenges.
Specialization in Geology and Analytics
Emmanuel Kanu has a strong background in geology and geophysics, particularly in drilling operations and log analyses. He specializes in real-time analysis of Measurement While Drilling (MWD) and Logging While Drilling (LWD) logs, providing insights for hydrocarbon evaluation. His experience in gas data analysis using Pixler plot further enhances his analytical capabilities.