Siddhant K.

As a machine learning engineer proficient in both frequentist and probabilistic approaches, I bring a versatile toolkit to the table. My expertise allows me to tackle problems from multiple angles, leveraging frequentist methods for deterministic predictions and probabilistic techniques for quantifying uncertainty. Whether it's building Bayesian deep learning models or applying traditional statistical methods, I thrive on the ability to adapt methodologies to suit the unique demands of each project. This comprehensive understanding enables me to deliver robust solutions that not only perform well but also provide valuable insights for informed decision-making. With a deep understanding of both paradigms, I approach each challenge with confidence, knowing that I can choose the best tools for the job and deliver impactful results.