Ibrahima DIALLO

Experience

• 

  Université Laval - Département d'économique

  Sept 2017 - Jul 2018

  Teaching Assistant in Macroeconomics Principle (Undergraduate, summer 2018)Teaching Assistant in Macroeconomics Theory II (Undergraduate, winter 2018) Teaching assistant in Macroeconomics I (Graduate, fall 2017)

  • Undergraduate Teaching Assistant

    Jan 2018 - Jul 2018

  • Graduate Teaching Assistant

    Sept 2017 - Dec 2017
• 

  Disability Employment, and Public Policies Initiatives

  Sept 2018 - Apr 2022

  Researcher

  • Developed public policy solutions to enhance employment opportunities for persons with disabilities in a dynamic labor market.• Created impactful short videos presenting research findings in French to effectively communicate insights.• Evaluated public policies using advanced quantitative methods like Difference-in-Differences and instrumental variables.

• 

  Institut national de la recherche scientifique

  Jan 2021 - Mar 2021

  Research internship at INRS

  • Conducted research on labor market dynamics and analyzed LFS data to understand the impacts of Covid-19 on the labor market.• Produced a statistical portrait of youth employment in Quebec from 2010 to 2019 using Microsoft and STATA tools.• Collaborated with a team to identify trends and patterns in the data to provide valuable insights for future policy decisions.

• 

  Apexmachina

  Jan 2022 - Sept 2023

  Data Scientist Economiste

  • Conducted comprehensive data analysis using multiple datasets to drive actionable insights in healthcare.• Developed sophisticated econometric models to assess healthcare demand, utilizing decomposition and event study analysis techniques.• Applied advanced statistical modeling within health economics, focusing on survival analysis and longitudinal modeling to track patient outcomes over time.

• 

  Canada Mortgage and Housing Corporation (CMHC) Société canadienne d'hypothèques et de logement(SCHL)

  Oct 2023 - now

  Specialist, Survey Statistics and Information Systems

  • Conducted complex data analysis from SAS to PySpark on Databricks for RMS project, enhancing efficiency through strategic management and collaboration.• Developed PySpark scripts for surveys, streamlining data structures and performing statistical analyses.• Conducted time series analysis, resolving seasonal adjustment issues and enhancing visualization through Databricks SQL dashboards.