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Mohammad Iftekhar Ayub
Data analyst and researcher in machine learning for finance and supply chains
Jamaica, Queens, New York · niftekhar1224@gmail.com
Professional Summary
I'm Mohammad Iftekhar Ayub, a data analyst and researcher based in Queens, New York. My path runs from finance and banking in Bangladesh, through cost control and purchasing in hospitality and product development in footwear manufacturing, to data management and analytics in the United States, where I finished my MSIT with a perfect 4.00 and a place on the Presidential List. Today I coordinate projects at D&D Tech USA in Brooklyn. My research applies machine learning to banking, finance and supply chains, including AI-driven demand forecasting, and I am always glad to hear from people who want to build or study that work together.
Professional Experience
Assistant Project Coordinator
PresentD&D Tech USA Inc. · Brooklyn, NY
Coordinating projects across teams, schedules and stakeholders.
Entry-Level Data Analyst
D&D Tech USA Inc. · Brooklyn, NY
Cleaned, analysed and reported on business data.
Product Development Officer (Shoe Developer)
MAF Shoes Ltd. · Bangladesh
Developed footwear products from specification to sample.
Cost Controller & Purchase Officer
The Peninsula Chittagong Limited · Chittagong, Bangladesh
Controlled food and operating costs and managed purchasing for a hotel.
Education
Master of Science in Information Technology, Data Management & Analytics
Washington University of Science and Technology (formerly iGlobal University)
CGPA 4.00 / 4.00 · Presidential List
Master of Business Administration, Finance and Banking
International Islamic University Chittagong
CGPA 3.354 / 4.00
Bachelor of Business Administration, Finance & Banking (minor in Accounting)
Independent University, Bangladesh
CGPA 2.74 / 4.00
Research & Publications
Sentiment analysis of consumer feedback and its impact on business strategies by machine learning
The American Journal of Applied Sciences 7 (01), 6-16 · 2025
Evaluating machine learning models for optimal customer segmentation in banking: a comparative study
Am. J. Eng. Technol 6 (12), 68-83 · 2024
Deep learning for real-time fraud detection: Enhancing credit card security in banking systems
The American Journal of Engineering and Technology · 2025
& Ahmed, M.(2025). AI-Powered Sentiment Analytics in Banking: A BERT and LSTM Perspective
International Interdisciplinary Business Economics Advancement Journal 6 (05 …, 0
AI-driven demand forecasting for multi-echelon supply chains: Enhancing forecasting accuracy and operational efficiency through machine learning and deep learning techniques
Emerging Frontiers Library for The American Journal of Management and … · 2025
Enhancing stock price prediction through sentiment analysis: a comparative study of machine learning and deep learning models using financial news data
FRONTLINE 5 (02), 7-17 · 2025
Enhanced banking fraud detection: A comparative analysis of supervised machine learning algorithms
Colombo Scientific Journal of Computer Science & Information System 9 (12 … · 2024
& Rasel, M.(2024)
ENHANCED BANKING FRAUD DETECTION: A COMPARATIVE ANALYSIS OF SUPERVISED …, 0