Machine Learning Business Intelligence

FEMI JAMES AFOLAYAN

**** ****** ******* ***, *******, GA

*********@*****.*** LinkedIn: www.linkedin.com/in/femi-james-afolayan

PROFESSIONAL SUMMARY

Data & Business Intelligence Analyst with 4+ years of experience interpreting and transforming complex internal and external data sources into actionable business insights. Strong background in SQL, statistical modeling, and machine learning with proven expertise in supporting business objectives through data pipelines, predictive models, and real-time reporting. Skilled in collaborating with stakeholders to identify risks, develop solutions, and drive data-enabled decision-making across domains. Experienced with AWS, BI tools, and analytics lifecycle from data sourcing to stakeholder presentation.

EDUCATION

Georgia State University, Atlanta, GA

M.S. in Mathematics (Statistics) – Expected May 2025

University of Lagos, Nigeria

B.Sc. in Mathematics and Statistics – Nov 2016

TECHNICAL SKILLS & TOOLS

Languages & SQL: Python, R, SQL, Scala, MATLAB

Statistical & ML Models: Regression, Classification, XGBoost, Clustering, Deep Learning (TensorFlow, PyTorch), NLP

Data Handling & Engineering: Data Wrangling, Feature Engineering, AWS (S3, Glue, Redshift, Athena, SageMaker), GCP, Azure

Visualization & Reporting: Power BI, Tableau, Excel

Analytics Tools: SAS, Salesforce, PowerApps

Software Practices: A/B Testing, Model Evaluation, Reporting Automation, Machine Learning Pipelines

PROFESSIONAL EXPERIENCE

Graduate Teaching Assistant

Georgia State University Aug 2023 – Present

- Led end-to-end analytics lifecycle including data profiling, preparation, and model building using Python and R.

- Developed and deployed ML models for business-oriented forecasts; performed interpretation and presentation of findings.

- Collaborated with faculty and peers to ensure data-driven solutions met academic and real-world objectives.

- Created and maintained automated reporting processes using Excel and Python.

Business Intelligence Analyst

Techsteps Limited Aug 2021 – Jun 2023

- Designed and built analytical tools and dashboards in Power BI to support strategic decisions across departments.

- Developed production-level machine learning models for forecasting and recommendation systems.

- Partnered cross-functionally with business stakeholders to define KPIs and track business performance.

- Wrangled and normalized structured and unstructured data from multiple sources to create reliable reporting datasets.

- Prepared business narratives summarizing model impact and recommending data-driven actions.

Business Data Analyst

Coca-Cola Hellenic Bottling Company Sep 2020 – Jul 2021

- Developed SQL-driven reports and monitoring dashboards for supply chain and customer analytics.

- Built predictive models identifying consumer churn and behavioral patterns; insights led to an 8% churn reduction.

- Conducted stakeholder discovery sessions to gather requirements, profile data, and deliver tailored business reports.

- Created production schedules and documentation for internal reporting to ensure on-time delivery and data integrity.

PROJECTS

- Credit Card Churn Prediction – Built logistic regression and decision tree models to identify at-risk customers and reduce churn.

- Loan Default Forecasting – Developed XGBoost model for risk prediction; improved high-risk loan identification accuracy.

- E-commerce Recommender System – Designed collaborative filtering system to enhance product recommendation accuracy.

CERTIFICATIONS & AFFILIATIONS

- Member, Data Science Network (DSN)

- Member, American Mathematical Society (AMS)

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