Lamae Maharaj

Lamae Maharaj

U.S. Economist @ U.S. Bureau of Labor Statistics TFP | AI

Role
Economist at Bureau Of Labor Statistics
Location
Washington, WA, US
LinkedIn followers
500 followers

About Lamae Maharaj

At the U.S. Department of Labor, our team is enhancing the understanding of labor market and productivity dynamics through the application of advanced data analysis techniques. With a Master\'s in Financial Risk Management from Queens College, I contribute to the Office of Productivity & Technology by creating Python tools for data verification and employing economic research methodologies.My role requires a deep dive into the application of the Tornqvist Index, ensuring accurate data rebasing and impactful economic releases. Our reports and data help the government and others make informed policy-making and public knowledge, underpinning the department\'s mission to foster, promote, and develop the welfare of wage earners.

Experience

  1. Economist

    Bureau Of Labor Statistics

    Jan 2024 — Present · Washington, DC, US

    Office of Productivity & Technology (OPT) Division of Major Sector Productivity• Researches the rise of Artificial Intelligence. • Builds tools using Python for data verification and organizing data tables for production code.• Data cleaning and transformation• Economic Research & Analysis (Capital / Labor Market Data)• Writes sections in the Total Factor Productivity BLS News Release• Verifies data on BLS postings on The Economic Daily (TED).• Re-basing data from previous years and to the most current.• Creates indexes using Tornqvist, Paasche and Laspeyres index methods.• Performs industry analysis on major industries in the U.S. Economy• Capital data analysis for major sectors & industries • Total U.S. Economy Data Analysis • Created Python script to flag significant productivity shifts • Used Median Absolute Deviation to detect outliers• Used the K-Means algorithm to simply group industries by their mix of assets from the 5 major groups: equipment, inventories, intellectual property, structures and land. • Created ETL code that removes manual data updates from Excel into SAS and replaces it with a full Python updating and loading system for production (News Release Updates).

Education

  • Queens College

    Master of Science - MS, Finance

    2023

  • Queensborough Community College of The City University of New York (CUNY)

    Associate of Science - AS, Criminal Justice

  • Queens College

    Bachelor of Science - BS, Econometrics and Quantitative Economics

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