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Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

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micahwiesner67/README.md

Hi there 👋

  • I'm a full-stack data scientist. I've worked in data analytics, as a data scientist, and as a data engineer / MLOps Engineer
  • 🔭 I’m currently working on epidemiologic modeling with the CDC Center for Forecasting Analytics and have extensive experienc in fraud prediction in the public and private sector.
  • 💬 Ask me about neural networks, rare-event modeling, MLOps, fraud prediction, and modeling in general
  • Passions: ⛷️ 🏕️ 🎸

Bio

  • 🏡 Rochester, NY
  • 🏢 2022- : Sr. Data Scientist at Booz Allen Hamilton
  • 🏢 2020-2021: Data Analyst for Fraud Prediction at Riskified
  • 📜 2018-2020: MSc in Geosciences & Data Science at Syracuse University
  • ⚙️ Daily tools: R, Python, SQL

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  1. MS_Thesis_Geochemistry MS_Thesis_Geochemistry Public

    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 …

    R 1

  2. Covid_Job_Loss_USA Covid_Job_Loss_USA Public

    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.

    R

  3. Decision_Tree_Classifier_Heart_Disease Decision_Tree_Classifier_Heart_Disease Public

    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…

    Python

  4. NY_100YR_Flood_Prediction NY_100YR_Flood_Prediction Public

    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 …

    R 2 1