Kirill Igumenshchev

Data Scientist

After focusing on fundamental quantum chemistry methods as a UCB postdoc, working on a number of machine learning open source and start-up projects, as well as consulting for a financial start up, Kirill came across an opportunity to learn practical side of building a big data-oriented start up at a fast-growing scale — working for 6sense. He is responsible for automation of cleaning and machine learning pipelines, as well as engineering machine learning tools that accelerate building predictive models. 

Using quick prototyping turnaround time, being up-to-date on academic research, and having knowledge of performance-optimized algorithms, Kirill is responsible for speeding up the data-to-prediction cycle at 6sense.

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