MICHAEL ENEFIOK

DATA SCIENTIST/DATA ANALYST
Calabar, NG.

About

Results-driven Data Scientist and Analyst with over 4 years of experience transforming complex datasets into actionable business insights. Proven track record of developing and deploying machine learning models that drive significant revenue growth, reduce customer churn, and optimize marketing ROI. Proficient in SQL, Python, Excel, and Power BI, with strong expertise in statistical analysis, predictive modeling, and data visualization to support strategic decision-making.

Work

Foodturn Corporation
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Data Scientist / Data Analyst

Abuja, Abuja, Nigeria

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Remote

Summary

Led data science initiatives at Foodturn Corporation, leveraging machine learning and advanced analytics to optimize business operations and drive strategic growth.

Highlights

Engineered and deployed robust machine learning models for critical business functions including customer churn prediction, sales forecasting, and marketing optimization.

Improved forecasting accuracy by 25%, reduced customer churn by 15%, and increased marketing ROI by 30% through the implementation of data-driven strategies and predictive models.

Developed and presented actionable insights through dynamic Power BI and Excel dashboards, enabling executive reporting and informed strategic decision-making.

Conducted rigorous A/B testing to validate hypotheses and precisely measure the effectiveness of strategic initiatives, ensuring data-backed outcomes.

Zel-Tech Hub
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Computer Instructor

Calabar, Cross River State, Nigeria

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Summary

Provided comprehensive computer instruction at Zel-Tech Hub, developing foundational skills for students in various software applications.

Highlights

Delivered engaging instruction in computer fundamentals and essential software applications to diverse student groups, fostering strong foundational knowledge.

Cultivated strong communication and teaching abilities, effectively simplifying complex technical concepts for learners of varying skill levels.

Developed and adapted curriculum materials to meet student learning objectives, enhancing practical skill acquisition and comprehension.

Projects

Predictive Customer Churn Analysis for Telecom Industry

www.kaggle.com/code/michaelenefiok/customer-churn-prediction-with-ml

Summary

1. Analyzed 7,000+ customer records to model churn behavior and reduce revenue loss for a telecom provider. 2. Engineered features, handled class imbalance, and trained Random Forest and Logistic Regression models, achieving 86% accuracy and 0.82 ROC-AUC. 3. Visualized insights in matplotlib/seaborn to communicate drivers of churn contract type, tenure, and monthly charges to non-technical stakeholders. 4. Deployed findings in a Kaggle notebook with interactive charts.

Education

University of Calabar
Calabar, Cross River State, Nigeria

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B.Sc.

Statistics

Akwa Ibom State Polytechnic
Akwa Ibom State, Nigeria

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ND

Computer Studies

Languages

English

Certificates

Complete Machine Learning Certification
Advanced Data Analysis with SQL and Python
Statistical Methods and Predictive Analytics

Skills

Python

Pandas, Scikit-learn, NumPy.

SQL

Database Querying, Database Management.

Data Visualization & Reporting

Power BI, Excel.

Machine Learning

Predictive Modeling.

Statistical Analysis

Forecasting, A/B Testing.

Analytical Thinking

Problem Solving.

Communication

Presentation.

Collaboration

Teamwork.

Time Management

Multitasking.

Attention to Detail

Accuracy.

References

Godwin Oko

CEO, Zel-Tech Hub