Summary
Abdullah Imran is a data scientist and computational researcher with 11 years of experience applying machine learning, statistical modeling, and high-performance computing to scientific and industrial problems. Based in El Paso, he blends expertise in Python, R, MATLAB, TensorFlow and scikit-learn with parallel programming (Fortran-MPI, OpenMP) and cloud/big-data platforms (Azure, Hadoop, Spark) to deliver scalable analytics and predictive models. His research portfolio spans 3D seismic wave simulations, LiDAR and atmospheric analytics, anomaly detection for Industry 4.0, and edge computing for distributed ML—work that bridges academic rigor with production-ready implementations. Known for strong visualization and reproducible workflows (Dash, Shiny, vector DBs), he thrives on turning high-dimensional, noisy data into actionable insights for resilience and safety.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Statistics and Data Science, Master of Science - MS, Statistics and Data Science at The University of Texas at El Paso
Bachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at North South University
Secondary School Certificate, Science, A+, Secondary School Certificate, Science, A+ at Dhaka Residential Model College
Higher Secondary School Certificate, Science, A+, Higher Secondary School Certificate, Science, A+ at Notre Dame College, Dhaka
English, Bangla, Urdu, Hindi