About
Highly analytical Data Scientist with expertise in SQL, MongoDB, AI evaluation, and machine learning model development, leveraging Python for data wrangling, exploratory data analysis, hypothesis testing, and model deployment. Proven ability to transform complex datasets into actionable insights, driving informed business decisions and optimizing operational efficiency. Passionate about applying advanced analytical techniques to solve real-world problems and contribute to data-driven innovation.
Work
WQU
|Deep Learning Intern
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Summary
Developed and deployed predictive models using linear regression and multi-layer neural networks to enhance material selection processes in construction.
Highlights
Developed linear regression models and multi-layer neural network models to accurately predict the compressive strength of concrete, contributing to informed decision-making on choice materials for building construction.
WQU
|Data Science Lab Intern
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Summary
Led data analysis and model development projects, applying advanced statistical and machine learning techniques to derive actionable insights for various business and scientific challenges.
Highlights
Conducted exploratory data analysis (EDA) on 21,000 Mexican properties using pandas, matplotlib, boxplots, and seaborn, assessing price influences to provide data-driven purchase insights.
Developed ARIMA and ARMA models with hyperparameter tuning in Python (pandas, plotly express, matplotlib, seaborn, statsmodels) to forecast PM2.5 concentrations in Nairobi and Dar es Salaam, supporting proactive pollution control.
Built Logistic Regression and Decision Tree models with scikit-learn from SQLite data to predict building damage from the 2015 Nepal earthquake, identifying low-strength materials as a major risk factor.
Deployed Decision Tree and Gradient Boosting models using Python (pandas, matplotlib, plotly express, seaborn, scikit-learn) to predict company bankruptcy in Poland and Taiwan, aiding strategic investment decisions.
Performed end-to-end customer segmentation using k-means clustering on 20k+ U.S. household records (351 variables), resulting in 4 actionable segments and an interactive Dash dashboard for non-technical stakeholders.
Designed and executed a randomized A/B experiment using MongoDB applicant data, performing chi-square analysis and building ETL pipelines and an interactive web app to inform evidence-based decision-making.
Built and deployed an end-to-end volatility forecasting pipeline for MTN Group equity data, integrating API-based data ingestion (Alpha Vantage), SQLite storage, and GARCH(1,1) modeling, improving reproducibility and enabling programmatic forecasts.
Ramy's Crave and Glup
|Data Analyst
Lagos, Lagos, Nigeria
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Summary
Managed real-time data collection and analysis, leveraging data visualization tools to optimize inventory and boost profitability by over 35%.
Highlights
Supervised real-time stock and sales data collection, storing records in Microsoft SQL Server and reducing data loss by 60%.
Analyzed stock and material usage trends in Excel, enabling timely restocking and reducing average customer wait time by 4 minutes.
Designed Power BI and Tableau dashboards to visualize product sales, optimizing inventory decisions and boosting profit by 35%+.
Turing
|Business Analyst
Palo Alto, California, US
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Summary
Streamlined data processing and visualization, designed dynamic dashboards, and captured workflow data to support targeted advertising and AI model fine-tuning, reducing costs by 10%.
Highlights
Cleaned and preprocessed datasets, created pivot tables, and designed dynamic Excel dashboards to visualize sales-demographic relationships, enabling targeted advertising and reducing costs by 10%.
Captured screen recording of workflow and converted task sequences into structured JSON files to support the fine-tuning of Anthropic AI models.
University of Abuja
|Research Intern
Abuja, Abuja, Nigeria
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Summary
Optimized experimental design and data analysis processes, developing predictive mathematical models and creating graphical illustrations for effective research interpretation and a 40% cost reduction.
Highlights
Designed experiments, achieving a 40% cost reduction through literature review, safety analysis, and optimization using MATLAB and Excel.
Conducted data analysis using Excel, removing over 80% of data anomalies for improved accuracy and reliability.
Developed predictive mathematical models with Python (pandas, scikit-learn) and MATLAB to aid forecasting of experimental results and the design of commercial Direct Air Capture devices.
Created graphical illustrations in Excel and MATLAB for effective analysis and interpretation of research results.
Muhasu Enterprises
|Intern
Lagos, Lagos, Nigeria
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Summary
Monitored and analyzed production data to optimize machine scheduling and reduce operational costs by 20%.
Highlights
Monitored and analyzed production data by managing extensive logs of polythene roll weights, identifying a clear relationship between weight and machine run time.
Developed a predictive mathematical model using Lagrange interpolation, optimizing machine scheduling and reducing labor costs by 20%.
Volunteer
University of Abuja
|Volunteer Research Member
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Summary
Contributed to research by conducting data collection, analysis, and model development, significantly improving computational efficiency.
Highlights
Conducted data collection, analysis, and visualization in Excel, significantly reducing Python computation time.
Processed and normalized datasets in Python (pandas, numpy) for machine learning model development.
Trained an Artificial Neural Network (ANN) for predictive control using MATLAB, contributing to a novel machine learning model.
Education
Languages
English
Yoruba
Awards
Overall best male graduating student, University of Abuja
Awarded By
University of Abuja
Recognized as the best graduating male student in the entire University of Abuja for the 2023/2024 academic session.
Touch-A-Life Foundation Scholarship Award
Awarded By
Touch-A-Life Foundation
Named a TAL scholar for outstanding academic performance in STEM and received full funding to study chemical engineering in the University of Abuja for 5 years.
Asherkine-TS Academy Scholarship
Awarded By
TS-Academy
Received tuition fee scholarship to study Data Science in TS-Academy.
ALX-Mastercard Foundation scholarship
Awarded By
Mastercard Foundation
Awarded a Mastercard Foundation scholarship tuition fee award to study software engineering at ALX Africa.
Chinese Embassy Scholarship and award of academic excellence
Awarded By
The Chinese Embassy in Nigeria
Received an award of honor for academic excellence and a tuition fee award of One Hundred Thousand Naira for the 2020/2021 academic session.
Skills
Data Analysis & Visualization
Exploratory Data Analysis (EDA), Data Visualizations, Hypothesis Testing, Cluster Analysis, Customer Segmentation, Root-Cause Analysis, Data Wrangling, Statistical Analysis, A/B Testing, Chi-square Analysis, Data Anomalies, Graphical Illustrations, Dashboards, Heatmaps, Interactive Plots, Power BI, Matplotlib, Pandas, Plotly Express, Seaborn, Tableau, Excel, MATLAB.
Machine Learning & AI Development
AI Evaluation, Machine Learning Model Development, Model Deployment, Deep Learning, Linear Regression, Multi-layer Neural Networks, ARIMA, ARMA, Scikit-Learn, Tensorflow, Logistic Regression, Decision Tree, Gradient Boosting, K-means Clustering, Artificial Neural Network (ANN), Volatility Forecasting, GARCH(1,1) Modeling, Model Optimization, Hyperparameter Tuning, Model Selection, Anthropic AI Models.
Programming & Databases
Python, C Programming, Javascript, SQL, MongoDB, SQLite, JSON, API Integration (Alpha Vantage), Web Scraping (Requests, BeautifulSoup), Numpy, Statsmodels, FastAPI.
Project Management & Communication
Report Writing, Stakeholder Engagement, Problem-Solving, Strategic Planning, Presentation, ETL Pipelines, Interactive Web App Development, Experiment Design, Workflow Optimization, Executive Summaries, Microsoft Powerpoint, Microsoft Word.