Rebecca Reitz

Rebecca Reitz Email and Phone Number

Director, Data Scientist at KPMG US @ KPMG US
Rebecca Reitz's Location
Seattle, Washington, United States, United States
Rebecca Reitz's Contact Details

Rebecca Reitz personal email

Rebecca Reitz phone numbers

About Rebecca Reitz

I am a Data Scientist with a PhD in Aerospace Materials. I enjoy using my knowledge of machine learning and big data to find actionable insights into real-world problems.• Techniques: natural language processing, CNN, RNN, XGBoost, regression, random forest, K-means clustering, naive Bayes classification, feature engineering, stochastic gradient descent• Languages: Python, SQL, familiar with HTML/CSS• Statistics: hypothesis testing, experimental design, Bayesian inference, principal component analysis, descriptive statistics, maximum likelihood estimation, mixed effects models• Tools: Microsoft Azure, Keras, Snorkel, Scikit-Learn, Pandas, Matplotlib, NLTK, Numpy, Jupyter, git, Flask, Bootstrap, PostgreSQL, Keras, Gensim

Rebecca Reitz's Current Company Details
KPMG US

Kpmg Us

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Director, Data Scientist at KPMG US
Rebecca Reitz Work Experience Details
  • Kpmg Us
    Director, Data Scientist
    Kpmg Us Oct 2024 - Present
    New York, Ny, Us
    Full stack AI Engineering leading teams implementing data and Gen AI projects for capital markets firms
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  • Kpmg Us
    Manager, Data Scientist
    Kpmg Us Oct 2021 - Oct 2024
    New York, Ny, Us
    • Leading a team of 7 (Data Scientists, Data Engineering, and Software Developers, mixture of on-shore and off-shore) to create a custom AI data management solution in AWS
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  • Kpmg Us
    Senior Associate, Data Scientist
    Kpmg Us Mar 2019 - Oct 2021
    New York, Ny, Us
    • Built cloud migration and data analysis projects in Microsoft Azure with Databricks, Azure Data Factory, Logic Apps• Developed model operator in IBM cloud ecosystem• Built patent pending machine learning and natural language processing pipeline for a tax application. • Worked with tools such as snorkel and keras to build a semi-supervised deep-learning multi-classifier to find the products and services of a company based on its business description.• Conducted user interviews and worked with business teams and subcontractors to ensure models and technological solutions were aligned with clients' strategic priorities
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  • Insight Data Science
    Insight Data Science Fellow
    Insight Data Science Sep 2018 - Mar 2019
    San Francisco, Ca, Us
    • AliExpress has a known problem in which all reviews, even the very negative ones, tend to give a product 5/5 stars. This makes it difficult to know which reviews and products to trust. • Trained a linear regression with stochastic gradient descent to predict helpfulness on a database of >1 million Amazon reviews and applied the resulting model to reviews from AliExpress. • Created an interactive interface (trustexpress.site) hosted on AWS with Flask and Bootstrap. This webapp allows users to assess products on AliExpress at a glance.
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  • University Of California Santa Barbara
    Graduate Researcher
    University Of California Santa Barbara Jul 2013 - Nov 2018
    • Increased efficiency of aircraft engines by 5% by improving the processing of high temperature ceramic composites. • Performed feature engineering and analysis of 1TB of 3-D images to model and identify choke points in the processing of these ceramics.• Founder & Co-President of Beyond Academia: raised 20k/year and brought in 30 speakers to mentor 200 graduate students and post-docs on professional skills.• Used natural language processing and naive Bayes classification to estimate support (~73%) for a California Senate Bill by scraping ~3,000 tweets on #SB827.• Mentored 2 Masters students and 2 undergraduate interns
  • Pratt & Whitney
    Mpe Summer Intern
    Pratt & Whitney Jun 2015 - Sep 2015
    East Hartford, Ct, Us
    • Used k-means clustering to screen candidate coating materials for the hot section of turbines, improving the speed of materials screening by 10x
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  • Mit
    Materials Engineering Intern
    Mit Jun 2012 - Aug 2012
    Cambridge, Ma, Us
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  • Colorado School Of Mines
    Metallurgy Intern
    Colorado School Of Mines Jun 2011 - Aug 2011

Rebecca Reitz Skills

Materials Materials Science Mechanical Engineering Research Matlab Metallurgy Composites Coatings Scanning Electron Microscopy Public Speaking Data Analysis Characterization Python Machine Learning Microsoft Excel Solar Cells Powerpoint Powder X Ray Diffraction Sql Logistic Regression Random Forest Feature Engineering Scikit Learn Flask Natural Language Processing Bayesian Statistics Matplotlib Data Science Postgresql Bootstrap Statistics Science Experimental Design Communication Hypothesis Testing Microsoft Office Xgboost

Rebecca Reitz Education Details

  • Uc Santa Barbara
    Uc Santa Barbara
    Materials Engineering
  • Brown University
    Brown University
    Materials Engineering

Frequently Asked Questions about Rebecca Reitz

What company does Rebecca Reitz work for?

Rebecca Reitz works for Kpmg Us

What is Rebecca Reitz's role at the current company?

Rebecca Reitz's current role is Director, Data Scientist at KPMG US.

What is Rebecca Reitz's email address?

Rebecca Reitz's email address is re****@****own.edu

What is Rebecca Reitz's direct phone number?

Rebecca Reitz's direct phone number is +130362*****

What schools did Rebecca Reitz attend?

Rebecca Reitz attended Uc Santa Barbara, Brown University.

What skills is Rebecca Reitz known for?

Rebecca Reitz has skills like Materials, Materials Science, Mechanical Engineering, Research, Matlab, Metallurgy, Composites, Coatings, Scanning Electron Microscopy, Public Speaking, Data Analysis, Characterization.

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