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)
Data Management Specialist @ Nextbewe (January 2025 - Present)
- Built and maintained automated data pipelines on GCP (BigQuery, Dataflow), reducing batch processing time by 45%.
- Implemented data governance and validation checks increasing trusted data availability by 30%.
- Collaborated with stakeholders to define metrics, SLAs and reporting cadence.
- Implemented secure data storage and retrieval systems, ensuring compliance with HIPAA and protecting sensitive information.
- Designed and enforced data governance frameworks with validation checks, boosting data reliability by 30%.
Team Lead, Business Operations @ Briccs International Ideal Limited (July 2024 - October 2024)
- Led ingestion of telecom and SMS usage logs into BigQuery; standardized schemas and automated nightly loads.
- Improved client satisfaction by 30% through data-driven issue resolution and operational reporting.
- Prototyped dashboards in Python/Excel and migrated dashboards to Looker Studio for stakeholders.
- Built customer segmentation models (k-means) and prediction models to improve ad targeting.
- Analyzed delivery-rate disparities and proposed route optimizations to improve service reliability.
- Developed Looker Studio dashboards that surfaced product performance metrics and improved decision-making cadence.
- Integrated CRM and marketing tools to sync customer segments for targeted campaigns, improving engagement by 15%.
Business Analyst @ JMK Construction & Hospitality (April 2022 - March 2024)
- Designed and maintained interactive dashboards (Looker Studio, Tableau) enabling non-technical stakeholders to explore facility and cost metrics.
- Diagnosed pipeline anomalies and implemented validation rules to improve data accuracy and trust in reports.
- Built predictive models for resource allocation, reducing project overspend by 15%.
- Delivered ad-hoc analyses on market trends and operational performance to leadership.
- Analyzed large advertising datasets and created optimized SQL queries to support near real-time dashboards.
- Led churn analysis projects using survival analysis and ensemble models to improve customer retention.
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.