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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working on fraud prediction with the Veteran Affairs and epidemiologic modeling with the CDC Center for Forecasting Analytics
  • šŸ’¬ Ask me about neural networks, rare-event modeling, fraud prediction, and modeling in general
  • Passions: ā›·ļø šŸ•ļø šŸŽø

Bio

  • šŸ” Rochester, NY
  • šŸ¢ 2022- : Sr. Data Scientist at Booz Allen Hamilton
  • šŸ¢ 2020-2021: Data Analyst for Fraud Prediction at Riskified
  • šŸ“œ 2018-2020: MSc in Geosciences & Data Science at Syracuse University
  • āš™ļø Daily tools: R, Python, SQL

Micah Wiesner's Projects

covid_job_loss_usa icon covid_job_loss_usa

We examined the loss of jobs due to Covid-19 by county, state, region, and job sector. We qualitatively tested the hypothesis that job loss was dependent upon population.

decision_tree_classifier_heart_disease icon decision_tree_classifier_heart_disease

This is an end-to-end machine learning model in which I implement random-forest and decision tree classifiers to predict heart disease. I utilized cross-validation, and oversampling to deal with an imbalanced dataset.

iso_geochem icon iso_geochem

This repository holds functions I have created (and am working on currently) which should make the life of someone analyzing geochemical data easier.

ms_thesis_geochemistry icon ms_thesis_geochemistry

This is my master's thesis work in Geochemistry. For this project, I sampled calcite and water from an interesting lake to test the fractionation of oxygen-18 from H20-Calcite and its applications in climate studies.

ny_100yr_flood_prediction icon ny_100yr_flood_prediction

I created multiple models to predict the discharge volume of a 100 year flood on rivers in NY state. The discharge of 100 year flood events is dependent upon watershed drainage area, and elevation among other variables.

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