Summary
Salman Sigari is a Senior Data Scientist with nine years of experience building ML-driven solutions across finance, law, defense, and manufacturing, currently focused on connectivity and impact analysis at Bloomberg. He combines deep NLP and AI expertise with engineering rigor, having led analytics and infrastructure efforts at Bloomberg Law and Conduent and taught machine learning at Columbia University. His background spans applied research, operations research, and production ML—optimizing aircraft part manufacturing at BAE and cutting scrap by 80% in prior industrial roles. Salman holds advanced training in AI from MIT and a Masters in Data Science/Machine Learning from Stevens, bringing both academic depth and hands-on delivery. He has a track record of translating complex domain problems into scalable data products and improving decision-making through tailored analytics. Less obvious: he blends classroom teaching and industry leadership, which helps him communicate technical strategy effectively to both executives and engineering teams.
9 years of coding experience
10 years of employment as a software developer
Data Science Machine Learning , Data Science Machine Learning at Stevens Institute of Technology
Master of Science (MSc) Engineering Management , Master of Science (MSc) Engineering Management at Aston University
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Iran
Artificial Intelligence, Artificial Intelligence at Massachusetts Institute of Technology
Level 7 Diploma Strategic Management and Leadership, Level 7 Diploma Strategic Management and Leadership at Chartered Management Institute
English