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  • 👋 Hi! I am Oluyori Oluwagbemiga Benjamin. I'd prefer to go by "Benjamin".

ABOUT ME

  • I am a Data Scientist and Data Analyst with a background in Computer Science and a passion for solving real-world problems with data. I have experience in Machine Learning, Data Visualization, and Predictive modeling. I enjoy working with large datasets and finding insights that can drive business decisions.

EDUCATION

  • Master's degree in Data Science and Analytics
  • Bachelor's degree in Computer Science
  • Microsoft Azure Data Data Science Associate Certification

SKILLS

  • Python (NumPy, pandas, scikit-learn, TensorFlow) R (ggplot2, dplyr, caret) MySQL Tableau Hadoop Neo4j Spark Dataflow

RESEARCH INTEREST

  • Predictive Scheduling & Modeling
  • Natural Language Processing
  • Recommender Systems

CONTACT

Oluyori Benjamin's Projects

cats-vs-dogs-classifier icon cats-vs-dogs-classifier

The primary aim of this project is to develop a machine learning-based classifier capable of discerning between images of cats and dogs. The classifier should be robust enough to correctly categorize these images, despite variations in pose, thereby providing a solution for a binary classification problem.

curriculum icon curriculum

Dive into our 7-month web development program covering HTML, CSS, Javascript, Node, and React!

data-science icon data-science

I will be working on real world datasets wherein analysis will be performed and machine learning models will be built based on the features in the dataset.

enron-email-classification icon enron-email-classification

This repository contains the code and analysis for the Enron email classification project. The project aims to develop a supervised classification pipeline to accurately classify emails as spam or non-spam using the Enron email dataset.

ml-basics icon ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

organise-files icon organise-files

This is a simple python script that basically arrange your files and groups them into a folder, (This grouping is done based on the file extension)

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