Yetunde Badru

• Developed and deployed a Random Forest Classifier model, achieving 88% accuracy and ROC-AUC of 0.91 for heart disease risk prediction. • Engineered data preprocessing pipelines (feature scaling, encoding, and hyperparameter tuning) using Scikit-learn and GridSearchCV, improving reliability by 12%. • Deployed the model via Flask web application with real-time user input and dynamic results rendering using Jinja2 templates. • Integrated CI/CD workflow with GitHub and Render for automated deployment and version control for public access.

• Architected and deployed a secure, multi-zone AWS infrastructure for a simulated e-commerce analytics platform, ensuring 99.9% uptime and high scalability. • Configured and optimized core cloud components such as VPCs, subnets, routing tables, and security groups to support distributed data processing and performance monitoring. • Reduced compute costs by 30% through efficient EC2 instance selection, load optimization, and automated scaling. • Implemented IAM policies to enforce least-privilege access and maintain data security compliance. • Documented end-to-end deployment procedures, enabling reproducibility and seamless DevOps handover.

• Designed and executed A/B tests across 1,000+ real-world headlines to evaluate user engagement metrics • Applied hypothesis testing (t-tests) to validate statistical significance in content engagement rates, revealing 12% higher engagement for emotionally expressive headlines. • Communicated results via data visualizations and storytelling dashboards.

• Analyzed 25,000+ global survey responses to identify trends in machine learning tools, salary patterns, and job satisfaction across regions. • Applied advanced data wrangling and visualization techniques to reveal correlations between experience, tool adoption, and compensation levels. • Produced reproducible analytical reports in Jupyter Notebook, translating data findings into actionable insights for workforce and skill development in the data science industry.

AltSchool Africa

Olabisi Onabanjo University

Data Science

Data Wrangling & Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis & Hypothesis Testing, Data Visualization (Seaborn, Matplotlib, Plotly), Time Series Analysis (ARIMA, Seasonal Trends)

Machine Learning & AI

Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering, Model Evaluation & Cross-Validation (GridSearchCV, ROC-AUC, Confusion Matrix), Feature Engineering & Selection, Deep Learning (TensorFlow, Keras, PyTorch, CNNs, RNNs, Transfer Learning), Natural Language Processing (TextBlob, NLTK, spaCy, Text Classification, Sentiment Analysis), Model Deployment (Flask, Streamlit, Docker, FastAPI)

Programming Languages & Tools

Python, SQL, Git, Jupyter Notebooks, Google Colab, pandas, NumPy, scikit-learn, Matplotlib, Seaborn, XGBoost, LightGBM

Cloud & DevOps

AWS Certified Cloud Practitioner, EC2, S3, Cloud Model Deployment

Professional Attributes

Excellent Written & Spoken English, Creative Problem-Solving, Independent Thinking, Strong Documentation, Collaboration

Yetunde badru