Resume (pdf version) I am slowly but surely moving on my various Machine Learning, Data Science, Data Cleaning, Analysis, Engineering and Science projects to one central location. Enjoy.

• LinkedIn: https://www.linkedin.com/in/kymberlyayodeji
• Kaggle: https://www.kaggle.com/kymayodeji
• Github: https://kymayodeji.github.io/portfolio

I usually program in Python and SQL for my projects using Jupyter Notebooks. Maybe if I have time, I will convert a few projects into R and Java. My cloud platform of choice varies as I have experience with AWS, GCP and Azure.

• Data Science / Machine Learning

  • Breast Cancer classification models comparison: fine turned hyperparameters of four different classification models to determine an optimal prediction model
  • Clustering Food Groups by Nutritional Similarities: used various fine tuned clustering models to determine if USDAA Food groupings is optimal
  • Fashion MNIST Neural Network Supervised Learning Classification: first attempt at a Deep Learning Neural Network hypertuned model using the Fashion MNIST dataset
  • [Customer Segmentation] used various clustering methods to find optimal clustering of customers for marketing data
  • [Marketing Mix Modeling] identified appropriate advertising channels appropriations to optimize ROI
  • SpaceX Falcon 9 Mission success: (in progress)
  • Recommender model design and deployment: (in progress)

• Data Cleaning

  • Open Payments Data
    • used General Payment data from the Centers for Medicare & Medicaid Services (CMS) to retrieve a list of genera physicians and hospitals to use for a dahsboard for analysis of payments and patient reviews

• Data Analysis

  • Census Data
    • using US 2020 Census data to analyze population and demographic data of Texas counties
  • Google Mobility
    • analyzing Google Mobility data during the 2020 Pandemic Shutdown

• Data Engineering

  • ETL Financial Pipeline Project:
  • creating an end to end Financial pipeline of multiple online sources using Python, Web Scraping, APIs and SQL to transform and load into a SQL database

• Machine Learning Engineer

  • Machine Learning Pipeline using Tensor Flow Transform (in progress)