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Achievement: Pull Shark

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olumideodetunde/README.md

Data Scientist

Hi there! 👋

I am Olumide and I transitioned into data after reducing the annual production cycle by 42 days as a production lead.

In the last 5 years, I have worked in the e-commerce, healthcare, design and built environment sectors delivering impactful solutions along the way.

Currently, I lead and manage a project tasked with delivering three data solutions: enhancing street networks, predicting footfall estimates, and assessing design change implications to inform decision making.

In my free time, I support a community of talents transitioning into the data space, alongside developing personal projects that deeply interest me.

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  1. ML_EndtoEnd_Projects ML_EndtoEnd_Projects Public

    This repository contains holds diverse data science and machine learning solutions.

    Jupyter Notebook

  2. credit_worthiness_checker credit_worthiness_checker Public

    Solution to assess credit worthiness of individuals with little to no credit history

    Python

  3. emotion_recognition emotion_recognition Public

    This project uses physiological signals from participants and a self report data annotation to classify emotions of participants using signals obtained from a wrist-worn smart device

    Jupyter Notebook

  4. Shopping-Intention-Classification Shopping-Intention-Classification Public

    This notebook outlines the pipelines of 3 models used to classify the shopping intention of online shoppers. Instances of individual pipleines have been generated for this project.

    Jupyter Notebook

  5. Student-Monitoring-Program Student-Monitoring-Program Public

    This program uses anonymised student data to identify underperforming student with the aim of providing support to these categories of student.

    Python

  6. Statistical-Modelling Statistical-Modelling Public

    This program uses a number of statistical modelling methods to determine predictor variables, and predict division winners using a baseball dataset