Summary
Harish Krishnamurthy is a machine learning researcher with 11 years of experience applying predictive modeling, time series analysis, Bayesian methods, and neural networks to large-scale data problems. Based in Boston, he blends hands-on engineering in Python, Spark/PySpark, MLLib, SQL, and Hadoop with practical ETL and database work (SQL, MongoDB) to move models from prototype to production. He has worked with data challenges dating back to the pre–big data era and adapts legacy approaches to modern distributed systems. Harish also teaches data science and partners with corporations to identify and solve complex ML problems, bringing both pedagogy and pragmatic delivery to engagements. Known for a methodical, disciplined approach to model development (his “training circle” philosophy), he emphasizes rigorous probabilistic thinking alongside scalable implementation. He holds a BE from The National Institute of Engineering, Mysore and a master’s in electrical engineering from Northeastern University.
11 years of coding experience
Master's Degree, Electrical Engineering, Master's Degree, Electrical Engineering at Northeastern University
BE, Electrical Engineering, BE, Electrical Engineering at The National Institute of Engineering, Mysore
Kannada, English