Tomisin Adeniyi
About me: I'm a data professional who knows much about data analysis, machine learning, and data engineering. I turn raw data into insights that can help solve tough problems. I love working at the crossroads of data and tech and always try to create solutions that make a real impact. My Skills Data Analysis I know how to dig into data and find important trends. I’ve worked on projects like analyzing Pakistan’s largest e-commerce dataset. I looked at customer habits and key performance metrics using Python. Machine Learning I build machine learning models and pipelines. I focus on: -> Creating models for predicting and classifying data. -> Fixing issues with unbalanced data using methods like SMOTETomek. -> Setting up models so they work well in real-life applications. Web App Integration I connect data science with user experience by adding machine learning into Flask web apps. This makes sure our predictive systems can really be used by everyday users. Key Projects 1. Pakistan’s Largest E-Commerce Dataset I explored this dataset to find valuable insights. I’m good at showing findings through data visualization, making complex info easier to understand. 2. Predictive Advertising I created models to predict how often ads get clicked. I used user data and browsing habits to show how I blend data work with machine learning. 3. Customer Segmentation I used clustering to find different customer groups. This helps businesses market better and interact more with their customers. Technical Skills Here are some of my tools: -> Programming Languages: Python, SQL -> Machine Learning Tools: scikit-learn, CatBoost, XGBoost -> Data Handling & Visualization: pandas, numpy, seaborn, matplotlib -> Web Development: Flask -> Deployment Tools: Kubernetes, Docker, Git, joblib -> Data Engineering: Building scalable data workflows Beyond Data I love teaching and sharing knowledge. I teach computer science and Yoruba online, making tricky ideas easy to understand. I’m also diving into podcasting and writing articles to connect with more people. My Vision I want to use data and teaching to drive positive change. I’m focused on: -> Creating solutions that make a difference. -> Sharing knowledge and mentoring others. -> Bringing together tech and culture through creative content. Let's Connect Check out my work on GitHub: github.com/tadeni00. If you want to collaborate on a data project, need insights, or want to learn from my experiences, reach out!
Total Score: 62
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 2: Machine Learning for Regression
Score: 4 = 4 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 3: Machine Learning for Classification
Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 4: Evaluation Metrics for Classification
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 5: Deploying Machine Learning Models
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 8: Neural Networks and Deep Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 9: Serverless Deep Learning
Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)
Project submissions
Midterm Project
Project score: 14 Passed
Score: 23 = 14 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project