Summary
Sunil Veeravalli is a Senior Data Scientist with a PhD in Biochemistry and over eight years of experience applying statistical research, machine learning and data visualization to solve real-world problems. He has progressed from academic research and postdoctoral work at UCL to managing and extracting value from complex research datasets as a Research Data Manager and now leads data science initiatives at 59A. Comfortable bridging biology, bioinformatics and production ML, he combines rigorous experimental thinking with pragmatic engineering to uncover actionable insights from noisy data. Known for fast ramp-up and disciplined delivery, he excels at translating research-grade analyses into usable visualisations and models that drive decision-making. Actively seeking roles focused on ML/AI/DL and visualization, he brings an unusual blend of domain knowledge in molecular biology and hands-on data science practice. Based in England, he pairs deep academic training with industry-facing impact, making him adept at cross-disciplinary collaboration.
8 years of coding experience
9 years of employment as a software developer
B.Sc, Microbiology, Biochemistry & Chemistry, B.Sc, Microbiology, Biochemistry & Chemistry at Nagarjuna University
M.Sc, Biotechnology & Bioinformatics, M.Sc, Biotechnology & Bioinformatics at La Trobe University
PhD, Biochemistry and Molecular Biology, PhD, Biochemistry and Molecular Biology at University College London, U. of London