S M Mahamudul Hasan

About Me

A skilled Research Data Scientist and Software Engineer with 5+ years of experience in machine learning, deep learning, NLP, and AI research and the financial pricing domain. Proficient in Python, R, Java, SQL, TensorFlow, Keras, and Groovy scripting, with expertise in data science, pricing configuration, and ERP integration.

My Experience

Graduate Artificial Intelligence R&D Assistant, University of Hertfordshire, United Kingdom, October 2024 – Present

• Developed a NetLogo disease simulation for the UH Medical center, reducing infection rates by 20%, and created a Unity robot simulation, boosting warehouse automation by 15%.
• Led a 5-member team to develop an R-based job placement prediction system, achieving 85% accuracy and recommending a 10% employability improvement.

Application Engineer, All Generation Tech, Contract, Remote 100%, United States, June 2024 – Sep 2024

• Engineered scalable backend solutions using Unqork, reducing deployment time by 30% and improving efficiency by 20% through API and JSON integration.
• Collaborated with clients to define requirements, delivering tailored applications with 95% satisfaction, while reducing deployment turnaround time by 40% through effective change request scoping.

Pricefx Configuration Engineer Eglobal Infotech for Canidium Remote 100% Contract, USA Nov 2023 – Apr 2024

• Designed and developed pricing models in Pricefx using Groovy scripting, optimizing strategies. Configured data source integrations and SAP migrations, reducing manual effort by 95%.
• Facilitated Agile using Scrum Board, Jira, and MS Teams, achieving 90% on-time delivery and 20% fewer errors.

Pricing Software Engineer, Ark Solutions, Full-time, Remote 100%, Dhaka, June 2022 – September 2023

• Completed Pricefx Certified Configuration Engineer training and implemented end-to-end solutions for 3 international projects.
• Optimized pricing strategies with Groovy scripting and OOP, reducing processing time by 25% and enhancing pricing accuracy. Conducted unit testing, achieving 99% accuracy in models and reducing downtime by 15%.

Machine Learning, Deep Learning, and NLP Researcher HAB Lab (HCI, AI and Blockchain Lab), Feb 2020 – May 2022

• Led a 5-member team, co-authored 3 IEEE/Springer papers, and achieved 96% accuracy in Bangla fake news detection, boosting public trust.
• Developed efficient ML/DL/NLP models using Jupyter, Colab, and PyCharm, improving performance by 30% and reducing runtime by 20%, while optimizing data pipelines and tuning models.