Mr. Benjamin Borketey | Machine Learning for fraud detection | Global Data Innovation Recognition Award

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Mr. Benjamin Borketey, Machine Learning for fraud detection, Global Data Innovation Recognition Award

Mr. Benjamin Borketey at First Citizens Bank, United States

Professional Profile

Orcid Profile

Summary of Skills

Over 5 years of experience in Data Analytics, Economic Forecasting, Time Series Modelling, Statistical Modelling, Machine Learning, and Data Management.

Professional Experience

Risk Analyst III, First Citizens Bank, NC
October 2023 to Date

  • Independently validate financial crime models (AML, fraud), probability of default (PD), loss given default (LGD), and exposure at default (EAD) for commercial and industrial portfolios.
  • Provide effective challenges, mitigate model risks, and produce comprehensive validation reports.

Quant Model Analyst, U.S Bank, NC
August 2021-September 2023

  • Perform complex mathematical analysis using statistical methods and machine learning techniques.
  • Build and validate fraud detection models and interpret statistical findings for senior management.

Quant Model Analyst, Flagstar Bank, MI
January 2018-August 2021

  • Validate bank-wide models and prepare reports for senior management and regulators.
  • Analyze large datasets to provide strategic insights.

Education

Purdue University
Post Graduate Program in AI and Machine Learning, August 2022

The University of Akron, Ohio
Master of Arts in Economics, December 2017

University of Cape Coast
Bachelor of Arts in Economics and Mathematics, May 2014

Professional Association

  • Association of Data Scientists
  • International Society for Data Science and Analytics (ISDSA)
  • Data Visualization Society
  • Institute of Electrical and Electronics Engineers (Computer Science Society)

Certification Awards

  • Economic Data Analytics Certificate, SAS Institute

Conference Presentation

  • Presented at Global Insight Conference on Artificial Intelligence, 2024
  • International Society for Data Science and Analytics, 2024

Certifications

  • Statistics Essential for Data Science (Simplilearn)
  • Introduction to Artificial Intelligence
  • Python for Data Science (Simplilearn)
  • Data Science with Python (Simplilearn)
  • Machine Learning (Simplilearn)
  • Deep Learning with TensorFlow and Keras (Simplilearn)
  • Advance Deep Learning and Computer Vision (Simplilearn)
  • SAS Certificate in Economics (SAS Institute)
  • Certified Peer Reviewer (Elsevier)

đź“– Publication Top Noted

  • How hourly wage and the probability of committing a crime ( May 2024).

  • Real-Time Fraud Detection Using Machine Learning. ( May 2024).

 

Amir Reza Rahimi | artificial intelligence | Best Researcher Award

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Mr. Amir Reza Rahimi, artificial intelligence, Best Researcher Award

Mr. Amir Reza Rahimi at Universidad de Valencia, Spain

Professional Profile

Google Scholar Profile
Orcid Profile
Research Gate Profile

Summary

Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in Language, Literature, and Cultures and their applications. He has extensive teaching experience in English at universities, high schools, and language institutes in Iran. Rahimi has also conducted workshops on using technology in English language teaching. His research, focusing on psycholinguistics, computer-assisted language learning (CALL), and educational technology, has been published in leading journals and presented at international conferences.

Education

Amir Reza Rahimi holds a Master’s degree in English Language Teaching from Shahid Rajaee Teacher Training University in Tehran, Iran, where his thesis focused on the impact of Massive Open Online Courses (MOOCs) on the structural relationship between online regulation and online motivational self-systems among Iranian EFL learners. He earned his Bachelor’s degree in English Language Teaching from the University of Mohaghegh Ardabili in Ardabil, Iran. Currently, he is pursuing a Ph.D. in Language, Literature, and Cultures and its Applications at the University of Valencia, Spain, with research interests spanning computer-assisted language learning (CALL), educational technology, and psycholinguistics.

Professional Experience

Amir Reza Rahimi has amassed significant experience in English language education, having taught at various universities, high schools, and language institutes throughout Iran. His career includes conducting workshops aimed at integrating technology into English language teaching methodologies. Rahimi’s expertise extends to research in psycholinguistics, computer-assisted language learning (CALL), and educational psychology, contributing extensively to scholarly publications and presenting his work at prestigious international conferences. Currently a Ph.D. candidate at the University of Valencia, Spain, Rahimi continues to explore innovative approaches in language education and teacher development.

Research Interests

Amir Reza Rahimi’s research interests encompass several facets of language education and technology integration. His work primarily focuses on computer-assisted language learning (CALL), exploring the impact of Massive Open Online Courses (MOOCs) on language learners’ motivational self-systems and educational outcomes. Rahimi is also deeply engaged in psycholinguistics, investigating the cognitive processes involved in language acquisition and proficiency development. His research extends to educational technology, where he explores innovative methods and tools to enhance language teaching and learning experiences. Rahimi’s scholarly pursuits aim to contribute to theoretical advancements in the fields of language education and educational psychology, addressing contemporary challenges and opportunities in digital learning environments.

Conferences and Workshops

  • WorldCALL conference, Chiang Mai, Thailand
  • 21st Asia TEFL International Conference
  • TELLSI19 Conference, University of Birjand, Iran
  • AELTE 2022, Ankara, Turkey

Academic Membership

  • 2017-Present: Teaching English Language and Literature Society of Iran (TELLSI)

Technical Skills

  • SPSS, LISREL, AMOS, PLS-SEM, MAXQDA
  • Computer literacy (2018-2020)

Amir Reza Rahimi’s extensive background in teaching, research, and professional development showcases his expertise and contributions to the field of English Language Teaching and Educational Technology.

đź“– Publication Top Noted

Article: Correction to: The role of 21-century digital competence in shaping pre-service language teachers’ 21-century digital skills: the Partial Least Square Modeling Approach (PLS-SEM)

    • Authors: Amir Reza Rahimi, Zahra Mosalli
    • Journal: Journal of Computers in Education
    • Year: 2024

Article: Exploring the direct and indirect effects of EFL learners’ online motivational self-system on their online language learning acceptance: the new roles of current L2 self and …

    • Authors: Amir Reza Rahimi, Zahra Mosalli
    • Journal: Asian-Pacific Journal of Second and Foreign Language Education
    • Year: 2024

Article: The role of ChatGPT readiness in shaping language teachers’ language teaching innovation and meeting accountability: A bisymmetric approach

    • Authors: Amir Reza Rahimi, Ana Sevilla-PavĂłn
    • Journal: Computers and Education: Artificial Intelligence
    • Year: 2024

Article: The role of twenty-first century digital competence in shaping pre-service teacher language teachers’ twenty-first century digital skills: the Partial Least Square Modeling …

    • Authors: Amir Reza Rahimi, Zahra Mosalli
    • Journal: Journal of Computers in Education
    • Year: 2024

Article: A tri-phenomenon perspective to mitigate MOOCs’ high dropout rates: the role of technical, pedagogical, and contextual factors on language learners’ L2 motivational selves, and …

    • Authors: Amir Reza Rahimi
    • Journal: Smart Learning Environments
    • Year: 2023