Frode Paaske Email & Phone Number

New York, Ny, Us

New York, New York, United States

Moved to New York, NY to take on the responsibility of establishing the US-based data migration team for BASE life science ETL Implementation tech lead om multi-year data migration projects for pharmaceutical clientsContributing Python developer on internal ETL data migration tool used by over 50 data scientistsResponsible for determining and setting up necessary servers, software and development tools to ensure that other data scientists on projects can successfully migrate customer data in an industry compliant mannerRecruitment of new talentCoaching Data Scientists on best practices

Copenhagen, Capital Region, Denmark

As a Data Scientist, I am primarily responsible for conducting data engineering tasks needed to succeed in large scale, multi-year data migration projects for major life science companies.Main focus areas:- Interacting with customers and stakeholders to transform business data needs and requirements into Python code used order to transform and migrate data from legacy database systems to online Software as a service (SaaS) platform Veeva. - Software development: Develop new features and fix bugs in the Python-based data migration framework that BASE has created to enable data migration that fits customer specifications- Solve complex data analysis tasks to gain data insights that enable appropriate data transformation, filtering and migration. - Extensive experience with Red Hat Linux, Bash, Azure DevOps, Pytest, VSCode, Git, SAFe

Copenhagen Area, Capital Region, Denmark

As teaching assistant at CBS I taught 5 different courses that all required me to convey, explain and teach data science, machine learning and data analytics concepts to a non-technical audience.Main focus areas:- Teaching fundamentals of the Python programming language and its coding practices- Enabling non-technical, business students to utilize machine learning algorithms (Logistic Regression, SVM, Naive Bayes etc.) to solve business problems and real life use-cases- Data analytics, data manipulation and data transformation using Python and its associated libraries Pandas, NumPy, Matplotlib, Seaborn- Creating and grading assignments that required students to apply machine learning, data analysis, natural language processing (NLP) and data transformatons to solve business cases that created value for stakeholders- Taught students how to use state-of-the-art Python machine learning libraries like SciKit-Learn and its associated NLP and machine learning models to solve data classification, regression, text classification and time-series prediction tasks. I taught the following 5 courses:Business Data Analytics, Quantitative Methods and VisualizationDigital Technologies and Data-Driven Business (DTDDB)Big Data ManagementAI in Business and SocietyAI and Robotics

Copenhagen Area, Capital Region, Denmark

Being a student assistant at MAN Energy Solutions allowed me to sharpen and improve my business intelligence, data analysis and programming skills while pursuing my master’s degree in data science at Copenhagen Business School.Main focus areas:- Delivering business value and insights to stakeholders using data extracted from SQL databases and presented in PowerBI dashboards- Developing automation scripts using Python to analyze characteristics of received emails for automated processing and handling

Msc Business Administration And Information Systems - Data Science

Exchange Student

Exchange Student

Visiting Student

Visiting Student

Bachelor’S Degree