Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 0

I built an analytics function within the Department from scratch, from 0 to 5 analysts, promoting data-driven decision-making. E.g., we discovered efficiency improvement opportunities that helped to re-engineer business processes and optimize the headcount by 30%.
One of my recent projects is a Streamlit app to monitor daily search trends and related news in two countries using pytrends, GoogleNews, googletrans, and Python, deployed to Heroku via GitHub.
Overall, I have 15+ years of professional experience in Analytics (BI), Corporate Finance, and Strategic Consulting. Ph.D. in International Economics. For the last four years, I have been developing the analytics function within one of the largest in-house legal teams in Ukraine. Therefore, I have experience with data/text mining and some NLP tasks within the legal domain, extracting actionable information to support risk management and efficiency improvement, and presenting my findings to senior management.
I use Python (self-taught) for data analysis, SparkNLP, spaCy, and other tools for NLP tasks, and Streamlit to develop data apps. Looking for the opportunity to develop within the Data Science field further, within NLP or other branches.