Welcome to my profile
💳 My name is Muhammed Abdulhadi kehinde, A Data Scientist, Technical Writer, ML practitioner.
Languages: Python, Javascript & SQL.
- I also write tech stuffs on my Blogs:
- Medium
- Hashnode
- dev.to.
- I have relevant years of experience in Data Science and Machine Learning(machine learning deployment with python framework and cloud service).
- I've completed many projects which you'll find in my profile as you move on.
- 👯I’m looking to get an open role/position in Data science, Machine learning, MLOps.
| ☀️ Projects | 💬 Description |
| Sales Analysis (rfm and KPI) | This project offers a powerful data-driven approach to analyze sales performance, leveraging the combined insights of RFM (Recency, Frequency, Monetary Value) analysis and KPI reports. With the aim of optimizing marketing strategies and customer retention, it provide a comprehensive toolkit to uncover valuable patterns in customer behavior and performance metrics. |
| FIFA21 EDA! | Fifa is one of the most played console games in the world. FIFA 21 is a series of this. Fifa 21 is a soccer game.FIFA 21 is a football simulation video game published by Electronic Arts as part of the FIFA series. It is the 28th installment in the FIFA series, and was released on 9 October 2020 for Microsoft Windows, Nintendo Switch, PlayStation 4 and Xbox One. Enhanced versions for the PlayStation 5 and Xbox Series X and Series S were released on 3 December 2020, in addition to a version for Stadia. I performed Exploratory Data Analysis using the FIFA 21 data set. Later, I made visualizations using matplotlib & seaborn libraries. |
| Plane Crash Analysis! | This project take a look into airline crashes across the globe over a period of 20yrs. Statistical analysis and visualization was carried out on the data-set to answer question like: what is the likely cause of acident? etc.. |
| Data analysis with SQL(covid-19 data-set)! | This project take a look at covid-19 trend through 2020-2022 by differnt dimention eg Death-rate and Vaccination rate usind Postgresql. |
| Titanic AI App! | The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg.Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.This Full-Stack AI app was built based on a predictive Machine Learning Model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). The App is an AI application trained using Random Forest Classifier. |
- Text Mining: Analyzing text about machine learning.
July2022 - Mock dataset for your SQL project(No programming language needed)!
March2022 - Data-driven sales strategies the impact of rfm analysis and kpi reports unveiled
August2023
