Dr. Irina Neratova

Migration of Real-World Evidence Data Products (including ingestion and transformation pipelines) to Databricks and Cloudera CDP

Data analysis, validation, integration, quality control, processes improvement in Healthcare using Hadoop, Spark, Python, SQL, BI tools. Developed the automated workflow for the backdata correction within the Consumer Health production. Developed data quality monitoring dashboards. Developed an application for automated data analysis within the Consumer Health production Developed a graphical self-serving tool for colleagues without technical skills to query a Consumer Health database with a visual analysis

Data management of a digital product (Chemical & Life Science Databases); responsible for setting up automated workflows of data extraction and transformation, as well as for data quality and analysis * Implemented an automated QA processes in the product life cycle using Python * Built up graph data models/shapes graphs using RDF metadata and SHACL (working with turtle and RDF/XML) * Set up workflows for data processing from large data sets * Create statistical reports for Product Management

Responsible for the development, enhancement, and improvement of a Life Science database in the digital product; gather customer requirements and design product strategies * Set up an automated workflow of taxonomy data integration into the product life cycle * Created and presented project plans to upper management, Product Management for product development * Coordinated a project to implement regular taxonomy updates into a digital product * Created roadmaps of data processes and product changes

I have been involved in one of the projects of ESF-Nachwuchsforschergruppe “Chem-IT” of the Center for Advancing Electronics Dresden (cfAED). The aim of the project is the development of the approach, which can be applied for a creation of chemical information processing microfluidic devices with polymer separation function. I was responsible for the collaboration of "Chem-IT" group with "Institute Theory of Polymers" in IPF and was developing and leading the project directions.

I was responsible for project dedvelopment in the fields of transport properties, microfluidics, polymer brushes, molecular architecture and have made the project planning, acquired an experience of how to work in tight deadlines and cross-functional projects. In the frame of the project I have developed the approach for creation of microfluidic seperation devices. For these purposes I was working on computer simulation code. I am also keen in statistical data analysis, treatment and interpretation.

I was involed in the project dealing with smart copolymers near a pattern surface. I have developed an approach of surface pattern recognition and transfer to the polymer film, so called bottom-up technique, based on “double phase separation” in polymer solution; suggested and developed the computational model and algorithm for such experimental techniques as spin-coating to investigate the solvent evaporation process in polymer films, also the model of a polymer film swelling.

I had contributions to the project on mechanical properties of glassy polymers (polystyrene and polycarbonate) using full atomistic MD method and PUMA computational package. I have investigated the deformation effect on the glass transition temperature for atactic polystyrene films upon cooling and heating processes.

In my dissertation “Mesoscoping modeling of block copolymer self-assembly in nanoconfinements" I have developed the approaches of direct self-assembly of copolymers in nanofilms via surface patterning, solvent processes and original method of "double phase seperation" of polymers

MSc in Chemistry with specialization in physical and polymer chemistry

BSc in Chemistry with specialization in organic chemistry and surfactants