Sales Revenue Prediction
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Summary
Developed and evaluated regression models to predict sales revenue based on over 8,000 transactions, delivering key insights through interactive dashboards.
About
Highly analytical Machine Learning Engineer and Data Scientist with a strong foundation in data preprocessing, statistical modeling, and supervised machine learning using Python. Proven ability to translate complex data problems into scalable ML solutions, building and evaluating predictive models for business and research applications. Adept at communicating data-driven insights through compelling visualizations and dashboards to support strategic decision-making.
Work
Futybills
|Junior Data Scientist / Machine Learning Intern
Uyo, Akwa Ibom, Nigeria
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Summary
Leveraged machine learning and statistical analysis to develop predictive models and data visualizations, supporting forecasting and data-driven decision-making for business and research applications.
Highlights
Developed and rigorously evaluated supervised machine learning models (regression & classification) using Python, enhancing predictive capabilities for various use cases.
Executed comprehensive data cleaning, feature engineering, and Exploratory Data Analysis (EDA) to optimize model performance and interpretability.
Applied statistical analysis and Machine Learning outputs to provide actionable insights, directly supporting strategic forecasting and critical decision-making processes.
Designed and implemented interactive Power BI dashboards to effectively visualize complex predictions, identify key trends, and monitor critical KPIs.
Optimized SQL queries to efficiently prepare and integrate large datasets for in-depth analysis and robust model training.
SmartTech Analytics
|Machine Learning & Data Analytics Instructor
Uyo, Akwa Ibom, Nigeria
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Summary
Instructed and mentored over 80 students in Python for Machine Learning, Statistics, and Data Analysis, guiding them through end-to-end ML workflows and project development.
Highlights
Delivered comprehensive training in Python for Machine Learning, Statistics, and Data Analysis, equipping students with foundational and advanced data science skills.
Guided 80+ learners through end-to-end machine learning workflows, from data ingestion and preprocessing to modeling and robust evaluation.
Supervised practical projects focused on predictive modeling and data visualization, fostering hands-on experience and problem-solving abilities.
Mentored students on career transitioning into data science and machine learning roles, providing guidance on portfolio development and capstone projects.
Maintained high course completion and satisfaction rates, reflecting effective instructional delivery and student engagement.
Education
Federal University of Lafia
Lafia, Nasarawa, Nigeria
Postgraduate Diploma
Sociology
University of Calabar
Calabar, Cross River, Nigeria
B.Sc.
Physics
Languages
English
Certificates
Data Analysis with Python
Issued By
Great Learning
Power BI Essentials
Issued By
Simplilearn
SPSS for Social Research
Issued By
Udemy
Skills
Machine Learning
Linear Regression, Logistic Regression, Classification & Prediction, Feature Selection, Model Evaluation (Accuracy, RMSE, Confusion Matrix), Bias & Variance Awareness.
Programming & Data
Python (Pandas, NumPy, Matplotlib), SQL (Joins, Aggregations, Filtering), Excel (Advanced formulas, Pivot Tables).
Analytics & Statistics
Exploratory Data Analysis (EDA), Hypothesis Testing, Correlation Analysis, ANOVA, Chi-Square Test.
Visualization & BI
Power BI Dashboards, KPI Reporting, Data Storytelling.
Soft Skills
Analytical Thinking, Problem Solving, Technical Communication, Teaching & Mentorship.
Projects
Student Performance Prediction
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Summary
Built regression-based predictive models using academic data to forecast student performance, enhancing interpretability for non-technical stakeholders.
Survey Outcome Classification
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Summary
Applied statistical testing and logistic regression to classify survey outcomes, validating models using SPSS and Python to ensure accuracy and robustness.