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Faroque Ahmed
Senior Research Associate, Dhaka
Email: [email protected]
Official Telephone No: +8801716844811

Mr. Faroque Ahmed is working as a Senior Research Associate at the institution as of March 2, 2019 to present. He has completed his M.Sc. in Statistics from the Islamic University, Kushtia. He has a professional training degree in "Big Data Analytics" from the LICT training project of the ICT ministry, jointly organised by the Government of Bangladesh and George Washington University, USA. He has 4 years of teaching experience in different training programs organised by BIGM, i.e., Data Analysis in R and Python, hands-on quantitative analysis in STATA, Research methodology, Policy analysis courses, etc.

His research interests include the implementation of machine learning and cutting-edge econometric methods in the fields of financial economics and economic growth. He has published 14 peer-reviewed international journal articles on different topics so far. 

Currently, he is on study leave to pursue his PhD in Economics at the Ural Federal University in Yekaterinburg, Russia.

Education
  • Pursuing PhD
    Economics, Ural Federal University, Russia
    2022 - Till Date

  • M.Sc.
    Statistics, Islamic University, Kushtia, Bangladesh
    2011 - 2018
Professional Experience
  • Research Assistant
    Graduate School of Economics and Management Russia
    September 2022 - Till Date

  • Senior Research Associate
    BIGM Bangladesh
    March 2019 - Till Date
Areas of Interest
  • Machine Learning for economic growth
  • Financial Economics
  • Energy environment nexus with Finance
Skills
  • Big Data Analysis
  • Machine Learning Algorithms
  • Programming in R & Python
  • STATA
  • Eviews
  • SPSS
  • Data Science
Publications
Journals
Books
  • Reference Module in Social Sciences


    Kazi Sohag, Md. Monirul Islam, Faroque Ahmed, Geopolitics of financial stress, Reference Module in Social Sciences, Elsevier, 2023, ISBN 9780443157851, https://doi.org/10.1016/B978-0-44-313776-1.00098-2
Conference & Research Seminar
  • 2nd International Conference on Computing and Data Science (CDS), Stanford University, USA
    Ahmed, F. and Shamsuddin, R., (2021), "A Comparative Study of Credit Card Fraud Detection Using the Combination of Machine Learning Techniques with Data Imbalance Solution," 2nd International Conference on Computing and Data Science (CDS), Stanford University, CPS, IEEE, pp. 112-118, doi: https://doi.org/10.1109/CDS52072.2021.00026. Category: Ei Compendex and Scopus Indexed; 2021
Taught Courses
  • Hands-on quantitative analysis in STATA
  • Data analysis in R & Python
  • Research methodology
  • Policy Analysis Course
Languages
  • Bengali
    Native

  • English
    Good

  • Russian
    Basic

  • Hindi
    Good

  • Arabic
    Basic