Toluwase Babalola

TOLUWASE BABALOLA England, United Kingdom ƒ - #- ï linkedin.com/in/toluwasebabalola EDUCATION University of Hull Masters of Science in Artificial Intelligence and Data Science September 2022 - September 2023 Hull, England Kwara State University Bachelor of Engineering in Aeronautical and Astronautical Engineering August 2014 - May 2019 Kwara, Nigeria TECHNICAL SKILLS Languages: Python, HTML/CSS, SQL, JavaScript, C++ Libraries: NumPy, Pandas, Matplotlib, Seaborn, SciPy Frameworks, IDEs: TensorFlow, Jupyter Notebook, Visual Studio Code, IBM Watson Studio PROJECTS Customer Data Pre-Processing | Json, Seaborn, Datetime 4 • Created a method to analyse customer’s credit card validity and salary entries involving distance commuted to work and number of dependents. This algorithm was developed to improve client’s financial operation by 6.5 percent. I prepared this data for further analyses including representation changes, filtering, and derived a new metric for customer’s work status. Investigating Netflix Movie System from 2011 to 2020 | Pandas, Matplotlib, SQL 4 • Performed an analysis of over 7500 movies and TV shows average duration using python libraries such as NumPy, Pandas and Matplotlib. Visualization charts was plotted to analyze average declining runtime trends within those years. The Nigerian Insurance System: An analysis of customers’ total claim amount | Classification, linear regression 4 • Developed a base model using linear regression to predict about 700 customers’ total claim amount in the Nigerian insurance system, which involved training and testing the model to improve payment decisions in the sector. EXPERIENCE ExecuJet Aviation Nigeria October 2019 - July 2020 Aircraft Maintenance Intern Lagos, Nigeria • Created a algorithm with spreadsheets to procedure after flight inspections with edit functionality, this allowed us to report, document and track ground operations in the hangar. Adding this feature saved the manual maintenance time. On every task related to this, the SDE was saving on an average 5 minutes with better efficiency. • Developed quick and simple processes to improve results on the interior and exterior surfaces of nosecones to increase reusability in flight hardware and software [flight data recorder]. The data was revised and used to update separate Post-Flight and scheduled inspection documents, specifically general procedure and specifications. Nigerian Air Force 631 Aircraft Maintenance Depot January 2018 - July 2018 Student Intern Lagos, Nigeria • Documented applicable intellectual property that should remain with maintenance facility for planning and mobility. • Managed and computed daily data worksheet for military aircraft maintenance following the manual. • Performed over 10 Pre-Flight checks on the C130 Lockheed Martin and ATR 42 MP aircraft Compiled and organized files on data to one large excel sheet for future company use. RELEVANT COURSES/MEMBERSHIPS • • • • • • Data Scientist with Python Certification [DataCamp] April 2022 - present Machine Learning Crash Course with TensorFlow APIs [Google Developers] August 2022 - present Member, Society of Artificial Intelligence [International Association of Engineers] January 2022 Data Science Tools and Methodology [IBM Cognitive class] October 2021 Internship Experience UK: Engineering Infrastructure [Bright Network] July 2021 Machine Learning and Python [Data Science Nigeria] April 2021 PROFILE LINKS • Github