Welcome to my DATA & SOFTWARE ENGINEERING (ML SYSTEMS) portfolio! Here, I document a summary of my projects in the fields below.
| Project Link | Completion Date | Tools | Project Description |
|---|---|---|---|
| π ChatDpt | August 2023 | Python, Anthropic model , AWS Bedrock & Streamlit | Think of ChatGPT but generating response in different languages. ChatDPT is a chatbot built with AWS bedrock, python, Anthropic model and streamlit. This was built mainly for AWS workshop i was invited to as a speaker to showcase how to : Explore the Power of Generative AI in the Cloud Workshop. |
| π€ Llma Builder | Sept 2024 | Nodejs, Prisma, TogetherAI OpenAI GP3 & GP4 | Built an app builder with Open AI GP3 & GP4 with nodejs, togetherai & prisma. |
| Project Link | Area | Libraries & Tools | Project Description |
|---|---|---|---|
| π Home Price Prediction | Regression | Python, Pandas, Matplotlib, DecisonTree, Random Forest, Gradient Boost & Neural Networks | I built a prediction model to help hosts know the prices of homes inorder to make profit. |
| π₯ Promotion Prediction | Classification | Python, Pandas, Matplotlib & Catboost | I built a machine learning model to study the pattern of promotion on Abdullahi's company. |
| π³ Credit Card Prediction | Classification | Python, Pandas, Matplotlib, Catboost & Lightgbm | I built a machine learning model to determine whether a loan is good or bad. |
| β΅ Survival Prediction | Python, Xgboost & Streamlit | I built a machine learning model to predict who survived an accident on a boat and hosted it on streamlit. Demo Link |
| Project Link | Area | Project Description | Libraries |
|---|---|---|---|
| π« Fitness Tracking Analysis | EDA | Discovered insights into whether users are using an app for tracking health habits, their frequency of usage across the week and whether there is correlation between the hours logged, number of steps taken and calories burnt. | Pandas, Matplotlib & Seaborn |
| π’ Sales Store Analysis | EDA | Analysis of sales data to find out highest revenue and profit product categories and top customer segments. | Pandas, Matplotlib & Seaborn |
| πΉ Liquor Analysis | Data Wrangling & EDA | A study on red and white wine samples and understanding whether certain types of wine and their qualities (alcohol level, sugar content and acidity level) are associated with higher wine quality. | Pandas, Matplotlib |
| Project Link | Tools | Project Description |
|---|---|---|
| π Taxi(Uber) | Python, MageAI, AWS S3, AWS EC2, AWS Redshift | Developed and implemented an end-to-end ETL pipeline for processing NYC Trip Record data. The pipeline encompassed extracting raw data, performing data transformation using Python, applying fact and dimensional data modelling techniques, deploying with AWS Redshift and orchestrating the pipeline on Mage AI. |
| Project Link | Project Description | Tools |
|---|---|---|
| π₯ Clinic Record Sofware | Built a clinic record software for IITA clinic | C#, SQL & WinForm |
| π PDF Tools for compressing Splitting and Merging PDF files | Built my own custom PDF tool for compressing, splitting and merging PDF files from scratch | C#, SQL, WPF & XAML |