Data Scientist with experience building and testing Machine Learning Models.
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I performed this project for the NIH, as part of the AI data readiness challenge. The purpose of this project was to assess the AI readiness of publicly available data from The National Lung Screening Trial (NLST) dataset. NIH Link
Check it outPerformed Statistical Analysis on a large amount of population data in Python in order to determine whether specific areas had higher incidences of certain diseases. For the purpose of budget allotment.
Check it outA project providing instructions on how to build a custom data loader and model in Pytorch. The model is a neural Network classifier. And it performs binary classification. The model is also tested against out of sample data, as part of first steps toward creating something more scalable.
Check it outA project to optimize a machine learning model that was trained to identify Cancerous lung nodules in slide images.
Check it outThe purpose of this project was to use Machine learning models to cast a prediction for the future spending in the residential sector on electricity for the year 2021. Their results will then be compared and a report will be drafted.
Check it outI attempted to identify birds by their skeletal structure using machine learning, namely K-Means.
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