Yetunde Badru

Yetunde Badru

Data Scientist | AI & ML Engineer

Lagos, NG.

About

Highly motivated and results-oriented Data Scientist and Machine Learning Engineer with a robust foundation in Python, data analysis, machine learning, and statistical modeling. Currently advancing expertise through a Diploma in Data Science, complemented by hands-on experience in developing and deploying machine learning models. Proficient in leveraging deep learning frameworks (TensorFlow, PyTorch) and key libraries (scikit-learn, pandas, NumPy) to build intelligent solutions. Passionate about applying analytical skills and a creative problem-solving mindset to deliver impactful, data-driven solutions for complex real-world challenges.

Projects

AI-Powered Heart Disease Prediction App

AI-Powered Heart Disease Prediction App

Technical project

Summary

• 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.

Built a Scalable Web Infrastructure on AWS (SmartShop)

Technical project

Summary

• 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.

A/B Testing on Real-Time API Data

Technical project

Summary

• 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.

Analysis of the Kaggle Industry-Wide Survey

Technical project

Summary

• 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.

Work

ChoreTrolley (startup)

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Data scientist

Remote, Nigeria

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Full Time

Highlights

• Engineer and deploy a data-driven MVP using Python, Streamlit, and SQL, connecting users to verified household service vendors through predictive matching algorithms.

• Collaborate with designers, analysts, and product managers to define measurable success metrics and translate user research into data-informed product iterations.

• Simulate and analyze customer and vendor datasets (survey and behavioral data) using Pandas, NumPy, and Scikit-learn to validate core app features and optimize UX flows.

• Define and track KPIs, including vendor reliability, completion rate, and engagement retention, leveraging Power BI and Plotly for visualization and insight reporting.

• Design data schema and ETL pipelines to streamline data collection and storage for operational analytics.

• Perform Exploratory Data Analysis (EDA) to identify user behavior trends and guide product design and go-to-market decisions.

Education

AltSchool Africa

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Diploma (In Progress) Data Science Grade:

Olabisi Onabanjo University

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BSc Pharmacology Grade:

Skills

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.

Certificates

Cloud Computing

Ladies-In-Tech Africa (LITA)

AWS Certified Cloud Practitioner

Ladies-In-Tech Africa (LITA)

Deep Learning Specialization

IBM

Machine Learning and Artificial Intelligence

DSA

Python for Data Science

Coursera

Data Analysis with Python

IBM

Machine Learning with scikit-learn & TensorFlow

IBM

Publications

The Creative Renaissance: How AI Is Redefining the Art of Imagination

Yetunde badru

Explore the Creative Renaissance, where collaboration ignites innovation. Co-creators unite their talents to birth groundbreaking ideas, while disruptors challenge norms and forge new paths. This movement isn’t just about creativity; it’s about shaping the future and inviting everyone to join in this remarkable revolution!

Volunteer

Technical Writer

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The Good Docs project

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Languages

English

Fluent