Mashfiq Zaman, M.Sc. - Data & AI Engineer

Mashfiq Shahriar Zaman supports data science, artificial intelligence, and predictive analytics initiatives by applying advanced machine learning and data-driven methods to solve complex real-world problems. He works on developing predictive models, analyzing large and diverse datasets, and creating clear visualizations and technical reports that support informed decision-making across research and industry settings.

With over 4 years of applied experience in data science, analytics, and machine learning, Mashfiq brings strong expertise in predictive modelling, feature engineering, experimentation, model evaluation, and data preprocessing. His technical skill set includes Python, SQL, R, TensorFlow, Scikit-learn, Power BI, Snowflake, and MLflow, enabling him to transform complex data into practical insights and scalable analytical solutions.

At Genesis Data Solutions, Mashfiq contributes to the development of innovative ML-driven solutions for corrosion and integrity management, supporting more effective forecasting, operational intelligence, and data-informed decision support. Through his research and professional experience, he continues to build solutions that bridge technical depth with real business and engineering impact.

M.Sc. in Computer Science

University of Alberta