Tech Meetup: Data Science with MSD - ONLINE

MSD Advanced Analytics team will share their knowledge in the field of Data Science.

This Meetup is designed for people who are interested in data science - beginners and advanced. It will provide an introduction and ways of thinking about certain data science topics. You can also look forward to hearing simple language explanations about various data science topics.

This particular Meetup will focus on steps before any modeling or creating algorithms happen - data cleaning with emphasis on what to do when some part of information is missing.

WHY YOU SHOULD JOIN US?

You will meet experts from the field, get practical knowledge, ask your questions, get to network and meet like-minded people.

PREREQUISITES:

Basic statistics knowledge would be helpful. Being able to run code would be advantageous since you could exploit prepared materials better. But since the course will be about intuition and methodologies it is open for people without specific background.

WHAT DO YOU NEED TO INSTALL?

R and R studio.

WHAT WILL YOU LEARN?

You will understand concepts and ways of thinking how to deal when some information is missing in your data but you still need to do the analysis.

WHAT WILL YOU TRY?

• How to validate data
• To think how missing value happens
• How to deal with missing data

HOW WILL IT BE?

Schedule:

18:00-18:15 Introduction by Richard Dobis to the whole series

18:15:-19:00 First session - data validation, understanding why data is missing and general strategies how to think about it

19:00-19:10 Break

20:10-20:00 Second session and wrap up - example on one particular business case

SPEAKERS

Richard Dobis

Seasoned data science, machine learning, advanced analytics practitioner with an experience that ranges from small analytics state-of-the-art projects to the large scale IT initiatives that has a main functionality the DS/ML/AA complex algorithms. Joined MSD Prague IT HUB in 2015 to lead small mathematical modeling team that provides long term support to several scientific teams. Over the time the team evolves into internal DS / AA / ML consultancy that provided for the prioritized projects in IT portfolio the delivery services. Recently responsible for the new AA team created under the new D&A strategy inside of AH IT that is focused to support Animal Health business partners with AA delivery.

Justina Ivanauskaite

Justina is a senior data scientist with background in statistics. Her expertise lies primarily in econometric modeling, statistics and simulation. She has applied her knowledge in wide range of projects: vaccine research, forecasting, promotion response modeling, or animal health. Justina is interested in creating data science solutions that bring value to the client, with emphasis on reusability and reproducibility. She likes to explore business challenges and suggest methodologies how to achieve desired targets using data science.

Aneta Pintekova

Aneta is a data scientist in MSD with background in economics, statistics and econometrics. In her data science work she used her knowledge for example to help lab scientists with biological processes modeling or to provide oncology marketing teams with insights based on financial data. Before entering the field of statistical modeling, she also worked in data visualization area and as business analyst in Raiffeisenbank. She has a master's degree from Institute of Economic Studies at Charles University in Prague.