Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2.5

Contributed to delivering 5+ studies to the client by developing analytical datasets and outputs following CDISC standards.
Participated in developing macros on the client account to enhance the development process.
Conducted job interviews for intern positions and helped to raise several interns as a mentor.
Started my Ph.D. program at Kharkiv National V.N. Karazin  University in Economics in 2023.
Studied at the University of Barcelona as an Erasmus+ exchange student.
During my 2+ years at Contract Research Organization with the HQ in the UK, I have worked on clinical studies in several therapeutic areas such as Oncology and Respiratory performing tasks including developing analytical datasets and various outputs from them (tables, listings and figures), authoring the specifications to the datasets and reviewing other project documentation. The outcomes of my work allow the client company to get a clear picture of numerous aspects of the drug in research supported by profound statistical analysis. My leading technologies used for delivering this work are SAS and SQL.
My communication skills and experience in the field led me to pick up a mentor role for the company interns, helping them develop a solid knowledge of the technologies and domain specifics.
I am passionate about insights and the quality of decisions based on data analysis so I always strive for knowledge. I learned how to solve complex data science problems with the tools of Python libraries (NumPy, Pandas, Matplotlib, Seaborn, SciPy).
My previous experience also includes 1 year as a Sales Analyst for an outsourcing company which helped me develop my communication skills and the understanding of marketing and sales departments.
I am looking for a new challenging job. My first priority would be a Data Scientist position but I'm open to considering other data-related roles. Likewise, I am considering different types of companies but product companies are preferred.