Md Hafizur Rahman

ML Platform Lead at Noze

Hafizur Rahman has worked at multiple companies in various technical roles.

In 2019, they joined Sherweb as a Technical Analyst. In this role, they analyzed and resolved technical issues related to Office 365 products and actively documented solutions. Hafizur also collaborated with a team of 15 people and participated in discussions.

In 2020, Hafizur joined Evidence Partners as a Data Scientist. Hafizur developed a web-scraping tool using Python to extract biomedical research data from PubMed. Hafizur also built multi-label and binary text classification models using various algorithms and achieved a performance of 92%.

Also in 2020, they joined Promark Electronics Inc. as a Machine Learning Developer. Here, they designed and maintained end-to-end autonomous machine learning and computer vision deployment system architecture and infrastructure on an on-premise Ubuntu Server. Hafizur also developed computer vision applications using various algorithms and frameworks, such as YOLO, RCNN, U-NET, and CNN. Additionally, they performed ETL processes to collect data from multiple internal sources and stored them in an MS-SQL database.

Most recently, in 2022, Hafizur joined Noze as a Machine Learning Engineer (MLOps). Further details about this role are not provided.

Hafizur Rahman's education history includes a Master's degree in Applied Mathematics from Concordia University, which they pursued from 2017 to 2019. Prior to that, they completed a Master's degree in Mathematics from Northern Arizona University from 2015 to 2016, and a Bachelor's degree in Mathematics from Pabna University of Science and Technology between 2009 and 2014.

Additionally, Hafizur has obtained several certifications in various fields. Hafizur completed the Deep Learning Specialization, Fundamentals of Scalable Data Science, IBM Data Science Professional Certificate, and Machine Learning Specialization from Coursera in 2019. In the same year, they also completed the R Programming A-Z™: R For Data Science course from Udemy.

In 2019, Hafizur obtained certifications in Big Data Fundamentals via PySpark and Feature Engineering with PySpark from DataCamp. The following year, in 2020, they pursued a Nano Degree in Data Streaming from Udacity.

Furthermore, Hafizur has also acquired additional knowledge and skills through the Intermediate Python course from Treehouse, although the specific details regarding the month and year of completion are unavailable.

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