Omodele F

Developed and maintained self-serve solutions for tracking and reporting requisitions and purchase orders, significantly improving procurement decision-making and leading to savings of over hundreds of FTE hours per week. Developed and maintained Workload Management Solutions, ensuring transparency and effective resource allocation for procurement activities leading to reduced cycle times.

Data management and analysis across the energy, resource development, and infrastructure industries.

Designed and implemented customized BI data solutions required to drive services, merchandizing, financial operations, and other critical business processes.

Collaborated with teams of experts to design template for data collection; perform ETL on data; analyze and visualize data. Also, I was involved in training various supervised and unsupervised Machine Learning models using NLP, LSTM and a few others.

Maintained data infrastructure, ensuring data-driven business operation across division. Performed analysis of data and prepared reports with insights containing trends, anomalies and forecasts presented at business meetings. Implemented quality control measures and documentation of procedures to ensuring data integrity and data quality in conformity with business rules and compliance with best practices.

Collaborated to develop and maintain data infrastructure. Coordinated stakeholders engagement and analyzed data to drive critical measurement and evaluation decisions.

Assisted assigned professors in the implementation of schedules, thereby, leading to enhanced productivity. Also, participated in laboratory coordination and student mentorship.

While my technical skills were sharpened and applied on several projects, I completed the program with a capstone which involved working with an automotive business outfit in Calgary to analyze the impact of various marketing campaigns on the volume of sales and revenue generated in recent years. Databases were created in Microsoft SQL Server and available business data was cleaned and analyzed. Considering the effects of seasonality and marketing campaigns, insights generated were communicated to the business owners for informed decisions.