Technical Skills: Python, SQL, Excel, Power BI, AWS, Snowflake, MongoDB, Apache Spark, Trello, Tableau, Azure
- MBA, Marketing | Ilorin Business School, Ilorin, Nigeria (February 2024)
- Certificate in Data Analysis | Hands-on Institute of Information technology (HiiT), Lagos, Nigeria (September 2020)
- B.Sc., Anatomy | University of Ilorin, Ilorin, Nigeria (October 2018)
Business Analyst / Facility Operations Manager @ JMK Constructions and Hospitality (April 2021 - Present)
- Improved service delivery by 25% based on customer satisfaction scores and managed annual budgeting across multiple sites, consistently achieving 15% under-budget expenditure.
- Developed 10 complex dashboards and reporting tools tracking 25 key business performance metrics, enabling sales teams to craft targeted proposals, contributing to a 43% increase in revenue.
- Created 5 data models to support decision-making processes, planned maintenance for 35 facilities, and maintained records for 200 staff members.
Data Scientist @ Outsource Global Technology Ltd. (February 2020 - March 2021)
- Developed 18 new metrics and 12 KPIs that enabled 25 clients to track and optimize business processes, leading to over 10% increase in client revenues from $8M to $8.8M through improved customer satisfaction.
- Optimized machine learning pipelines and computational resource deployment strategies, reducing processing times by 20% (from 5 to 4 hours).
- Cleaned and transformed large datasets, and analyzed data to uncover over 5 hidden trends and patterns, providing clients with actionable insights and recommendations
Data Entry Associate @ Resource Intermediaries Ltd. (November 2018 - December 2019)
- Optimized data entry operations, reducing time wastage by 25% (from 8 to 6 hours per day) through process improvements and performed data analysis using pivot tables and power pivot on 20 datasets, enhancing team efficiency by completing 15,000 high-volume data entry tasks within tight deadlines.
- Resolved 500 discrepancies between physical documents and digital records through research and investigation, reducing errors by 40% through quality control checks on all entered and updated data points.
- Developed expertise in managing large datasets, enabling accurate analysis for informed decisionmaking processes within the organization.
This project analyzes and forecasts Superstore sales data, focusing on furniture and office supplies categories. This project aims to analyze Superstore sales data and forecast future sales for furniture and office supplies. It identifies seasonal patterns, trends and predicts future sales using ARIMA and Facebook's Prophet models.
Customer Segmentation using K-Means clusters customers based on spending habits, age, and income. This helps target marketing strategies, improve customer understanding, and maximize profits through tailored approaches. I utilized numpy, sklearn, seaborn, matplotlib, k-means-clustering, etc. for this analysis.
This project focuses on building a fraud detection model for credit card transactions using a dataset containing transactions made by European cardholders in September 2013. We are working with a highly unbalanced dataset and the challenge lies in effectively detecting fraudulent transactions while minimizing false positives. I utilized decision tree, svc, smote-oversampler, sgdclassifier, k-neighbors-classifier, etc. in developing this model.
This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies. I also utilized linear regression, bilinear interpolation, mean square error, mean absolute error root, mean square error, etc. for analysis and forecasting.