Kateryna Lapina

Kateryna Lapina's work experience includes various roles in the field of data science and research. Kateryna is currently employed as a Data Scientist at Degreed since February 2020. Previously, they worked as a Senior Data Scientist at Pearson from September 2016 to January 2020, where they developed deep learning models for an intelligent math tutor and implemented data collection and automation processes.

Before that, Kateryna was a Fellow at Insight Data Science, where they developed a web application called NYCeats using Twitter and Yelp data. Kateryna scraped and processed data from 800,000 tweets and utilized scikit-learn, Flask, and Google Maps API for the project.

Kateryna also has experience as a Research Associate at the University of Colorado Boulder from an unknown starting date to May 2015. In this role, they conducted simulations with a chemical transport model to assess ozone pollution sources in the US. Kateryna mentored undergraduate students and co-founded the "Colorado ozone gardens" initiative.

Kateryna was also a Postdoctoral Researcher at Colorado State University from May 2009 to July 2011, where they evaluated atmospheric models and assessed the impact of Chinese emissions on US air quality.

Earlier in their career, Kateryna worked as a Graduate Research Assistant at Michigan Technological University from January 2004 to an unknown end date. Kateryna conducted a study on the impacts of fires on air quality and performed statistical analysis of air quality observations combined with atmospheric model output. Kateryna also served as a Research Assistant at the same university from September 2000 to December 2003.

During their career, they were a Visiting Scientist at the International Institute for Applied Systems Analysis (IIASA) for a brief period in 2002. Kateryna started their professional journey as a Research Assistant at Kharkov Polytechnic University from an unknown starting date to 1997.

Overall, Kateryna Lapina has expertise in data science, deep learning, research, and atmospheric modeling.

Kateryna Lapina has an extensive educational background in various fields. Kateryna earned their Doctor of Philosophy (Ph.D.) degree in Environmental Engineering from Michigan Technological University, where they studied from 2000 to 2009. Prior to that, they obtained a Master's Degree in Environmental Sciences and Policy from Central European University, completing their studies in 2000.

In their earlier education, Kateryna received an Engineer's Degree in Dynamics of Structures from Kharkiv Polytechnic Institute, where they studied from 1989 to 1994.

Additionally, Kateryna has pursued various certifications to enhance their skills and knowledge. Kateryna completed the "Getting Started with Google Kubernetes Engine" course offered by Coursera in November 2019, and the "DEV210x: Introduction to C++" course provided by edX in January 2019. Kateryna also obtained certifications in topics such as Convolutional Neural Networks and Sequence Models from Coursera in November 2018 and July 2018, respectively.

In 2017, Kateryna obtained certifications in courses like "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Structuring Machine Learning Projects," "Neural Networks and Deep Learning," and "Machine Learning Foundations: A Case Study Approach," all offered by Coursera. Kateryna also completed a Machine Learning course from Coursera in December 2015.

Furthermore, they possess verified certificates from edX for completing courses in Big Data Analysis with Apache Spark, Distributed Machine Learning with Apache Spark, and Introduction to Apache Spark, although the specific timing of completion is not provided.