Dr. Veronica Comper

Support of all business intelligence applications in the DACH region for all 4 divisions of the company. Supply reporting, analytics and forecasting in the areas of controlling, supply chain and planning. Owner of the financial data and data architecture at the data warehouse and business intelligence level. Project leader for new developments in the areas of data architecture, forecasting and reporting.

Leading project teams for several client-based projects in the area of advanced analytics, business intelligence and custom reporting. Development and implementation of predictive and machine learning algorithms and advanced statistical analysis. Development of custom business intelligence tools. ETL, data analysis and visualization of custom reports. Advisory role for data infrastructure and statistical challenges at the clients' companies. Extended experience in Google cloud technology and Big Data tools.

Parts of several client-based projects in the area of advanced analytics, business intelligence and custom reporting. Development and implementation of predictive and machine learning algorithms and advanced statistical analysis. Development and implementation of custom business intelligence tools. ETL, data analysis and visualization of custom reports. Advisory role for data infrastructure and statistical challenges at the clients' companies.

Development of advanced statistical algorithms (Bayesian inference, Maximum likelihood estimation and predictive algorithm). Data analysis project with the goal to uncover anomalies, variation and patterns in the descriptive statistics of genomic data. Tasks included data mining and visualisation, cleaning of data, dataset building, evaluation and use of descriptive statistics, transformation and modelling of data.

• Invited lecturer for Computational genomics Master level classes (Dr. F. Smeraldi).

• Exploratory data analysis and data modelling • Statistical experience, including building Bayesian and predictive models • Scripting and computing (Python and R) • Population genetic theory and genomic data handling