Summary
Sivananda Rajananda is a Data Science Domain Lead with nine years of experience applying cognitive science and machine learning to real-world problems across ad automation, simulation modeling, inventory optimization, and image classification. He builds practical, well-structured ML pipelines and scalable tooling, partnering across teams in the U.S., East Asia, and Hong Kong to take initiatives from idea to production. His background blends academic research roles at UCLA and hands-on industry experience at Pattern and ASML, giving him a strong foundation in both experimental design and production engineering. Sivananda prioritizes clear, maintainable solutions for business-critical systems and has a habit of treating model deployment as a product rather than a research artifact. Trained at Harvard (MS Data Science) and UCLA (BSc Cognitive Science with computing), he brings a human-centered perspective to data problems informed by his cognitive science roots and international experience.
9 years of coding experience
7 years of employment as a software developer
Aerie Backcountry Medicine (through University of Montana)
Seamester (through University of South Florida)
Bachelor of Science (B.Sc.) Cognitive Science with Specialization in Computing, Bachelor of Science (B.Sc.) Cognitive Science with Specialization in Computing at University of California, Los Angeles
Master of Science - MS Data Science, Master of Science - MS Data Science at Harvard University
A-Levels: Mathematics, Biology, Chemistry, Knowledge & Inquiry, A-Levels: Mathematics, Biology, Chemistry, Knowledge & Inquiry at Raffles Institution
English, Malay, Chinese