Mariam Yousuf

Business Economist

Dallas-Fort Worth Metroplex

About

I am a Business Economist at the Federal Reserve Bank of Dallas. I apply theoretical knowledge to understand real time macroeconomic and banking conditions, with an emphasis on understanding the business perspective. In addition, I explain regional economic updates and trends to a general audience.

Experience

  • Business Economist at Federal Reserve Bank of Dallas
    Aug 2023 - Present · 2 yrs 11 mos

  • Economic Analyst at Big Data Federation, Inc.
    Aug 2021 - Jun 2023 · 1 yr 11 mos

    Researched the Macroeconomy and Banking Sector • Analyzed and modeled data to understand the trends in the macroeconomy and banking sector • Gathered data from various sources including FactSet, Census Bureau, and industry websites in order to conduct analysis • Used macroeconomic trends to provide guidance regarding the company’s investment portfolio Predicted Macroeconomic and Financial Indicators • Developed prediction projects by conducting research, data sourcing, and preliminary analysis in R and Excel before handing-off the project to the data science team for more extensive modeling • Worked with the Data Scientists until predictions were finalized, by reviewing findings and providing additional research on topics concerning the macroeconomy, banking, and finance • Projects included predicting economic indicators such as CPI, GDP, and unemployment Wrote and Edited Publications • Used all of the above research to write insights about the macroeconomy and the banking sector that are published on the company website and social media pages • Edited publications written by other analysts

  • Data Scientist at Metis
    Jan 2021 - Mar 2021 · 3 mos

    Metis is an immersive 12-week data science bootcamp that was held remote live. I created and presented five Data Science projects (more details in the accomplishments section below) that utilized data acquisition, supervised/unsupervised learning, SQL, and more: 1. Exploratory Data Analysis of MTA turnstile activity 2. Linear regression to predicting reviews of moisturizers on Sephora.com using product characteristics 3. Predicting 2016 election results by county using classification methods 4. Unsupervised learning to model topics on tweets from EconTwitter 5. Unsupervised learning to model topics and look at semantic similarity in articles written about George W. Bush and Hillary Clinton

  • Teaching Assistant at University of California, Davis
    Sep 2015 - Nov 2020 · 5 yrs 3 mos

    • Prepared and led discussion sections twice a week • Graded exams and assignments • Classes included Economic History Pre- and Post-Industrialization, Labor Economics, International Economics, Development Economics, Intro to Micro, and Intro to Macro.