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.
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- 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)
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- 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
- Open Payments Data
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- 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
- Census Data
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- 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
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- Machine Learning Pipeline using Tensor Flow Transform (in progress)