Summary
Dabeeruddin Syed is a Senior Data Scientist with a PhD in Electrical and Computer Engineering and seven years of experience applying machine learning, deep learning, and big data analytics in industry and research settings. Currently at Deloitte, he has a strong track record building resource-constrained deep learning solutions and end-to-end ML pipelines for utilities and smart buildings, including award-winning energy load forecasting and anomaly/theft detection systems. He combines production experience in Hadoop/Spark and cloud-enabled deployment with hands-on model work in Python, TensorFlow, Keras and R, and brings prior expertise as an Oracle DBA and managed-cloud engineer. An experienced instructor and published researcher, he placed 2nd in the Kaggle INFORMS Python competition for depression classification and has deployed models to low-compute devices for real-time applications. Based in Austin, he blends rigorous academic training with practical product delivery, often optimizing models for constrained hardware and parallel processing environments.
7 years of coding experience
8 years of employment as a software developer
Intermediate Public Examination MPC, Intermediate Public Examination MPC at Alphores Junior College
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at University College Of Engineering, Osmania University
Master of Science - MS Data Science and Engineering, Master of Science - MS Data Science and Engineering at Hamad Bin Khalifa University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Texas A&M University
Hindi, English, Urdu, Telugu, Spanish, French