Summary
Sajid Mahmood is a data scientist with five years’ experience translating complex datasets into actionable insights, specializing in deep learning for computer vision and applied financial analytics. He blends advanced statistics, Python/R development, Power BI reporting, and database management with domain knowledge from prior engineering roles in telecom, energy, and public sector projects. A multidisciplinary background—MSc in EE, a master’s in economics, and ongoing Applied Financial Engineering studies at WorldQuant University—supports his pragmatic approach to model development and validation. Freelancing since 2020, Sajid pairs hands-on machine learning deployment with strong testing and QA foundations from earlier roles, which helps ensure robust, production-ready solutions. Based in Lahore, he also brings cybersecurity curiosity and a systems-oriented mindset from firmware, automation, and solar PV engineering work, making him adept at solving cross-domain technical challenges.
6 years of coding experience
7 years of employment as a software developer
Master's degree, Economics, B, Master's degree, Economics, B at University of Lakki Marwat KPK Pakistan
Master's in Applied Financial Engineering, Applied Data Science And AI, A, Master's in Applied Financial Engineering, Applied Data Science And AI, A at WorldQuant University
Master of Science (M.Sc.), Electrical, Electronics and Communications Engineering, A, Master of Science (M.Sc.), Electrical, Electronics and Communications Engineering, A at Blekinge tekniska högskola
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, B, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, B at University of Engineering & Technology Peshawar
English, Danish, Arabic, Urdu, Pashto, Persian