Position: Machine Learning Engineer, Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

Work:

Machine Learning Engineer:
Topic modeling of 3 Million technician remarks. Development of the application that enables technicians to compare their actions with other technicians who had to deal with similar elevator breakages. 
Monitoring of Elevator status using Computer Vision.

Data Scientist:
In a small team developed a content-categorization pipeline of social-media posts, which resulted into near human-like performance and is constantly used in the production.

Our team also managed to develop a Django-based social-media monitoring application, which resulted into drastic increase the company's data-workflow efficiency. 

Business Intelligence Consultant:
Together with a small team developed a working planning-model for an Online Retailer in 3 days.

Directly supported the Senior Project Manager in the development of a new resource planning model for a big energy company after immediate superior left the firm.


Academia:
Won several town and region competitions in mathematics and physics. Third place in the final stage of the "small academy of sciences in Ukraine" competition with a scientific study in the experimental physics field.

Europa-Universität Viadrina "Fast-Track" scholarship for international students from Post-Soviet countries.  

BURG Scholarship for outstanding academic achievements and social engagement.
04.2021 - present : Machine Learning Engineer at Schindler AG in Berlin. 
As a member of Data Science team, I am responsible for development of reproducible pipelines covering each stage of Machine Learning operations including model training, validation, deployment and monitoring. Focused on predictive Maintenance domain. 


07.2020-04.2021: Data Scientist in the German's leading Social Media Analytics company in Berlin. We managed and analyzed social media data of dax-30 companies.

02.2019-06.2020: Business Intelligence consultant in Berlin. Main fields of focus: online retail and manufacturing. Implementation of Enterprise Resource Planning systems for large German and UK companies.



My technical and academic background combined with my previous working experience have prepared me well for a role that is analytically complex. 
Interested in machine- and deep learning. Constantly exploring these fields and trying to integrate new state-of-the-art algorithms in business domain.
- experienced team, which is eager to exchange knowledge.
- machine learning projects in business domain.