Hi, I’m ISLAMIAT OMOLADE

I am a data professional with a passion for crafting engaging stories from unstructured data. I am experienced in data storytelling, exploratory data analysis, and has a strong enthusiasm for machine learning. I enjoy working on diverse projects and is skilled at adapting to various data types across different fields, infusing creativity into each endeavor. I thrives on collaborating with a variety of people to develop innovative solutions and is deeply committed to leveraging data science for societal impact.

Download My Resume

Skills & Tools

Data Analysis

Python for data analysis
Jupyter Notebook for interactive computing
Excel for data manipulation and analysis
SQL for database querying
Data analysis libraries (Pandas and NumPy)

Data Science

Python data manipulation and modeling
Scikit-learn, TensorFlow, or PyTorch for machine learning
Notebook for prototyping and sharing code
Git for version control

Data Visualization

Data visualization libraries (e.g., Matplotlib, Seaborn, Plotly)
Tableau/Power BI for interactive visualizations

Machine Learning

Python for machine learning implementation
Scikit-learn, DeepLearning, TensorFlow, or PyTorch for model development
Data visualization tools for model interpretation
Deployment platforms (e.g., Docker) for model deployment

Projects

Analysis of Road Accidents in Nigeria

Every year, scores of lives are lost to road transportation in Nigeria, primarily due to the terrible conditions of the highways. This project explore analyzing traffic accident data using Microsoft Excel to identify critical trends and insights related to casualties. This project is dedicated to informing policy and decision-making in road safety, with the ultimate goal of reducing the number of accidents and associated fatalities.

Emergency Room Visits Analysis Using Power BI

This Power BI project aims to provide a comprehensive analysis of emergency room (ER) visit data to improve the efficiency and effectiveness of our healthcare system. By examining key metrics and trends, I aim to gain valuable insights that can enhance patient care, optimize resource allocation, and ultimately improve the overall patient experience.

Wikimedia Infographics

Wiki Infographics is an initiative from the Wiki Movimento Brasil user group. The idea is to leverage structured information within Wikimedia projects to create informative and visually engaging infographics in both fixed and dynamic formats under an open license. Download the Jupyternotebook that contains all useful documentation for carrying out this project task. Skills Python, for web development APIs, for the gathering of data Data visualization libraries

View Project

Space X Machine Learning Prediction

SpaceX is the most successful company of the commercial space age. It makes space travel affordable and saves quite a lot because it can reuse the first stage. Therefore, if we can determine if the first stage will land, we can determine the cost of a launch. Based on public information and machine learning models, this project aims to predict whether SpaceX will reuse the first stage.

View Project

Customer Purchase Prediction Using Decision Tree Classifier

This project is a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Using the Bank Marketing dataset from the UCI Machine Learning Repository.

View Project

Shopping Mall Customer Segmentation Usimg K-Means clustering

This project involves customer segmentation using the K-Means clustering algorithm on the Mall Customers dataset. The goal is to find the optimal number of clusters to segment customers based on their age, annual income, spending score, and gender.

View Project