PG

Pavlo Govoruha

Machine Learning Engineer at AltexSoft

Pavlo Govoruha has a diverse work experience in the field of data analysis and machine learning engineering. Pavlo is currently employed at AltexSoft as a Machine Learning Engineer, starting in July 2021. Before that, Pavlo worked at SOLVVE as a Machine Learning Engineer from December 2020 to June 2021. Prior to SOLVVE, they were a Data Scientist at MURKA from February 2019 to November 2020. Pavlo's earliest role was as a Data Analyst at Varus, Omega LTD, where they worked from August 2017 to January 2019.

Pavlo Govoruha's education history includes a Master of Science degree in Statistics from Oles Honchar Dnipro National University, which they obtained from 2017 to 2018. Prior to that, they completed their Bachelor of Science in Statistics from the same university from 2013 to 2017.

In addition to their formal education, Pavlo has obtained several certifications. Pavlo received Python (Advanced), Python (Basic), and Python (Intermediate) Certificates from HackerRank in September 2020. In May 2020, they completed the course "How to Win a Data Science Competition: Learn from Top Kagglers" from Coursera. Pavlo also completed the "Introduction to Deep Learning" course from Coursera in April 2020. Pavlo obtained the certificate "Neuronal Networks and Computer Vision" from Stepik in January 2020.

Further, Pavlo has obtained various certificates related to data analysis and machine learning from DataCamp. These include "Building Dashboards with shinydashboard," "Building Web Applications in R with Shiny: Case Studies," "Building Web Applications in R with Shiny," "Marketing Analytics in R: Statistical Modeling," "Analyzing Survey Data in R," "Building Chatbots in Python," and "Human Resources Analytics in R: Exploring Employee Data." These certificates were obtained from DataCamp between July 2018 and October 2018.

Additionally, Pavlo has completed several courses related to deep learning from Coursera. These include "Convolutional Neural Networks," "Sequence Models," "Structuring Machine Learning Projects," "Specialization Deep Learning," "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," and "Neural Networks and Deep Learning." These courses were completed between January 2018 and February 2018.

Finally, Pavlo completed the certificate course "Cleaning Data in Python" from DataCamp in November 2017.

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Previous companies

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Timeline

  • Machine Learning Engineer

    July, 2021 - present

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