Sergei Zaitseff

Sergei Zaitseff has extensive work experience in the field of Data Science and Finance. Sergei began their career in 1996 as a Group Financial Controller at Liggett-Ducat, where they implemented SAP R/3 and was a functional leader with PwC as a contractor. In 2002, they joined EvrazHolding as Head of Corporate Management Reporting, where they contributed to the company's IPO in 2005 and worked on the automation of corporate management reporting in SAP BW/BCS. From 2016 to 2019, Sergei worked as a Finance and Data Analytics Expert at GLG (Gerson Lehrman Group). Sergei then moved to TenViz, where they worked as a Data Scientist, developing predictive models and metrics for financial time series and machine learning solutions. Since 2019, Sergei has been a Senior Data Science Engineer at EverX.

Sergei Zaitseff holds a Master of Science (M.Sc.) in Physics from the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), a Master of Arts (M.A.) in Economics from the New Economic School, and a Professional Accountant certification from ACCA. Sergei also completed a Computer Science program at the Open Source Society University in 2019. Sergei has obtained numerous certifications, including Statistics, Part 2 by Bioinformatics Institute from Stepik (August 2019), Introduction to PySpark from DataCamp (July 2019), Statistics by Bioinformatics Institute from Stepik (July 2019), Big Data 10.0 (Hadoop, Apache Spark, DMP, Recommendation Systems) from NewProLab (June 2019), Supervised Machine Learning by MIPT/Yandex from Coursera (March 2019), Unsupervised Machine Learning by MIPT/Yandex from Coursera (March 2019), Math & Python for Data Analysis by MIPT/Yandex from Coursera (February 2019), Visualizing Time Series Data in Python from DataCamp (January 2019), Algorithms: Design and Analysis by Stanford University (December 2018), Introduction to Computer Networking by Stanford University (November 2018), CS50's Introduction to Computer Science by Harvard University (October 2018), Deep Learning, a 5-course specialization by deeplearning.ai from Coursera (August 2018), Machine Learning by Stanford University from Coursera (June 2018), SQL by Stanford University (May 2018), 6.00.1x: Introduction to Computer Science and Programming Using Python by MIT (March 2018), and Build a Modern Computer from First Principles: From Nand to Tetris by Hebrew University of Jerusalem (March 2018).