Ahmed Muaz

Ahmed Muaz is a seasoned professional with over 11 years of experience in research and development, specializing in Natural Language Processing, Machine Learning, and Data Science. His expertise includes Optical Character Recognition, POS parsing, and Machine Learning & Statistical Modelling for Images, Numeric data, and lengthy text collections. Ahmed excels in extraction of information, analytical requirements, and selection of appropriate statistical models to reveal hidden patterns in data.

Throughout his career, he has worked on various domains including text mining, sentiment analysis, topic modeling, and analytics applications. Highly motivated and self-organized, Ahmed is known for his ability to work both as a team member and a leader, delivering on challenging tasks. His multicultural exposure enables him to adapt seamlessly to dynamic environments.

Apart from his extensive experience in Unsupervised research, Data understanding, extraction, and transformation, Ahmed also excels in making architectural decisions, presenting findings to research groups, and collaborating with universities for research and development activities. His skills span across math & statistics, NLP, Machine Learning, AWS, and programming languages such as Java, Python, R, C#, VBA, and SQL. He is well-versed in SDLC methodologies and has proficiency in tools like Power Point and Tableau for presentations.

A graduate with a Master's degree in Computer Science and a Bachelor's degree in Computer Science, Ahmed has held prominent positions in organizations like Atlassian, Garvan Institute of Medical Research, Isentia, Systems Limited, PolyVista, and more. Besides his professional roles, he has also contributed as an Adjunct Faculty and held research assistant positions at National University of Computer and Emerging Sciences Lahore and CRULP.