I have developed into a mature, reliable, and resourceful engineer, equipped to solve complex machine learning and software engineering problems.
From machine learning engineer to solutions architect, data engineer, and data scientist… I have worn many hats while helping teams and companies deliver value-driven solutions to predictive analytics and data science problems.
I have hands-on experience in solving real business problems using techniques from time-series forecasting, recommender systems, reinforcement learning, Bayesian inference, and many others.
In 2017, I graduated from Royal Holloway University of London with a First Class Honours degree in Physics, followed by a Mathematics graduate degree at King’s College London (KCL).
During these years, I also developed some research experience in computational fluid dynamics and contributed to a publication in the field of theoretical statistical mechanics.