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Cindy L. Email & Phone Number

Data Engineer @ Federal Reserve Bank of St. Louis | Data Science, ML, NLP, LLMs, & Data Engineering at Federal Reserve Bank of St. Louis
Location: United States, United States, United States 6 work roles 3 schools
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Data Engineer @ Federal Reserve Bank of St. Louis | Data Science, ML, NLP, LLMs, & Data Engineering
Location
United States, United States, United States
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Cindy L. is listed as Data Engineer @ Federal Reserve Bank of St. Louis | Data Science, ML, NLP, LLMs, & Data Engineering at Federal Reserve Bank of St. Louis, a company with 1170 employees, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Cindy L..

Cindy L. previously worked as Data Engineer II at Federal Reserve Bank Of St. Louis and ML/AI Research Assistant at Federal Reserve Bank Of Philadelphia. Cindy L. holds Finance, 4.0 from Washington University In St. Louis.

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Federal Reserve Bank of St. Louis

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About Cindy L.

I apply my Master’s in Operations Research from Stanford to develop cutting-edge NLP models and design ETL pipelines for big data, significantly reducing runtime and computation resources. Our accomplishments include pioneering methods that identify fraudulent financial statements, aiding investors to avert substantial losses. With a strong statistical foundation, my fluency in many coding languages and proven track record delivering data solutions with utmost efficiency, I am committed to transforming complex data into strategic insights, optimizing economic research and analysis.

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Federal Reserve Bank of St. Louis
Federal Reserve Bank Of St. Louis
Data Engineer @ Federal Reserve Bank of St. Louis | Data Science, ML, NLP, LLMs, & Data Engineering
st. louis, missouri, united states
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Employees
1170
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6 roles

Cindy L. work experience

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Ml/Ai Research Assistant

Philadelphia, Pennsylvania, United States

  • Fit HuggingFace’s Climate BERT NLP models to classify earnings calls text & fit regressions in R, Stata & Python.
  • Improved computation time & memory by ~66% using R packages (tidyverse, tidymodels, dbplyr, forerach, doParallel) & parallel computing in the GitHub code repository for the above ESG earnings calls project.
  • Significantly cut runtime of R package (eventstudyr) from 10 min to 1 sec by debugging program’s optimizer.
Jun 2023 - May 2024

Research Fellow

Evanston, Illinois, United States

  • Created large 1000s-300 million row datasets using Snowflake, visualizations in R (ggplot2), and production-level Python, R, SAS, SQL, & Stata code to 11 professors/researchers, saving 3-4 months of time.
  • Classified fraudulent financial statements w/novel, original NLP method in Python that helped investors avoid return losses of 200 bps, 2x better than a rival data company’s product. Constructed complex text data.
  • Produced insights to 210,000+ companies on how manager’s ESG activities increase Glassdoor ratings using diff-in-diff causal models/regressions done in SAS and Stata.
Jun 2021 - Jun 2023

Research Assistant

St. Louis, MO

  • Discovered models that generates from 3-27% lower forecasting performance error of out-of-sample portfolio returns than two other models using newly proposed Barra signals, using R regressions.
  • Distributed written documentation to 35 business school researchers on how to use Julia packages & decreased errors with working with dates by ~75-100%.
Aug 2020 - Jun 2021

Research Assistant

Stanford, California, United States

  • Cut training runtime by ~50% of the neural net ML model predicting T-bond returns coded in Python.
  • Generated business insights for a 51-200 employee open innovation company using R and ML penalty regressions (lasso, ridge, elastic net) that lead to an ~1.5X increase in feedback given for high-quality designs.
Oct 2016 - Mar 2020

Research Assistant, Stanford Department Of Physics

Stanford, California, United States

  • Eliminated 100% crashes in closed-piston gas C++ & Java simulation program; ran to completion in 7-9 hours.
  • Analytic solution for Gaussian beam’s radiation PDE intensity saved all 10 Gratta Group members ~40 lab hours.
Mar 2016 - Jun 2017
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Colleagues at Federal Reserve Bank of St. Louis

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3 education records

Cindy L. education

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What company does Cindy L. work for?

Cindy L. works for Federal Reserve Bank of St. Louis.

What is Cindy L.'s role at Federal Reserve Bank of St. Louis?

Cindy L. is listed as Data Engineer @ Federal Reserve Bank of St. Louis | Data Science, ML, NLP, LLMs, & Data Engineering at Federal Reserve Bank of St. Louis.

Where is Cindy L. based?

Cindy L. is based in United States, United States, United States while working with Federal Reserve Bank of St. Louis.

What companies has Cindy L. worked for?

Cindy L. has worked for Federal Reserve Bank Of St. Louis, Federal Reserve Bank Of Philadelphia, Northwestern University - Kellogg School Of Management, Washington University In St. Louis, and Stanford University.

Who are Cindy L.'s colleagues at Federal Reserve Bank of St. Louis?

Cindy L.'s colleagues at Federal Reserve Bank of St. Louis include Wendy Delehaunty, Pmp, Umair Tariq, Gabriela Cornelius, Mba, Tom Hockett, and Tanya Larry.

How can I contact Cindy L.?

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What schools did Cindy L. attend?

Cindy L. holds Finance, 4.0 from Washington University In St. Louis.

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