Andrew Rothman

Andrew Rothman is a highly skilled Statistician and Machine Learning/Deep Learning Scientist with a strong educational background from Harvard University, M.I.T., and Stanford University.

With over 9 years of experience as a Research Scientist, Andrew currently holds the position of Principal Machine Learning and Data Scientist at the Cambridge Group in addition to working as an independent consultant.

His expertise includes a wide range of Machine Learning methodologies such as SVMs, Naive Bayes, Regression Based Learning, Generative Models, Discriminative Models, Tree-based methods, Unsupervised Learning, Neural Networks, Deep Learning, and Recommender Systems.

In terms of Statistical methodologies, Andrew is well-versed in Mathematical Statistics, Stochastic Processes, Time Series Methods, Dimensionality Reduction, and various Regression techniques including Bayesian Inference and Resampling Methods.

Moreover, Andrew possesses strong Mathematical and Computational skills in areas such as Programming, Optimization, Data Structures & Algorithms, Linear Algebra, Signals Processing, and Numerical Methods for PDEs. He is also proficient in a wide range of Software & Programming Tools including Python, R, SQL, NoSQL, SAS, MATLAB, C++, Java, Spark, and Amazon Web Services.

Andrew's academic journey includes studying Biostatistics & Epidemiology at Harvard University, pursuing a Doctorate in the same field as a candidate, exploring Computer Science with a focus on Artificial Intelligence & Machine Learning at Stanford University, and cross-registration at M.I.T. for Computer Science and Statistics. He also holds a Bachelor's degree in Biomedical/Electrical Engineering from Boston University and spent a semester abroad at Tecnológico de Monterrey.

Throughout his career, Andrew has worked in various roles at prestigious organizations like The Cambridge Group, Stanford University, Medium, BuildGroup, CORMAC, AIMatters, and The Boston Consulting Group, honing his skills and expertise in the field of Data Science and Machine Learning.

With a diverse background that includes instructional roles, technical writing, and consultancy, Andrew has made significant contributions to different projects and research initiatives across multiple domains including healthcare, artificial intelligence, and statistics.

Andrew Rothman is now open to new opportunities as a Data Scientist or Research Scientist at top-tier firms and can be contacted at atrothman@gmail.com for further professional engagements.