A data scientists journey: a personal account of what we have - PowerPoint PPT Presentation

A data scientist’s journey: a personal account of what we have learnt Stuti Agrawal and Eleonora Lippolis High-Tech Women in Science and Technology From Cybersecurity to Artificial Intelligence | 04.03.20

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How Stuti’s journey started Chicago (U.S.A) Darmstadt (Germany) New Delhi (India) High-Tech Women in Science and Technology | 04.03.20

How Eleonora’s journey started Darmstadt (Hessen, Germany) Erlangen (Bayern, Germany ) Pavia (Lombardia, Italy) Noci (Puglia, Italy) High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Clean data Lot of data cleaning to be • • Enough data performed • Data collection There is never enough data Easily available data • • Balanced data Enterprise system and • • multiple locations Unbalanced data • High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Only need of data and Understanding the context is • • technical skills very important Understanding business Need of immersion in the • business problem High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt All data already No Linux based computer • • ingested and ready No data ingestion • Understanding business Compute infrastructure to be used AWS machines • problem Fragmented infrastructure • High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Everyone wants data • People are either sold TOO • science and has a MUCH or NOT AT ALL to Understanding business Stakeholder buy-in clear idea of how they data driven ideas. In both problem want to implement it cases, the “HOW?” is not in their business. answered. High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Never occurred • Need to build trust as • experts Trust High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Knowing the People give you data and When we build a • • problem we expect results without a model, we know Understanding business clear goal are solving what we are trying problem Need consulting skills to to achieve • ask the right questions High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Knowing the Build fancy Machine Don’t need the best model, • • problem we Learning models but something better that Understanding business Model what exists are solving problem Start simple • building High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we thought | What we found What we thought What we learnt Knowing the Critical thinking Build model, get • • problem we Lot of interactions results and provide • Understanding business are solving Different languages them • Communication problem How the results matter • in business context High-Tech Women in Science and Technology | 04.03.20

Knowing the Understanding Stakeholder problem Trust business buy-in we are problem solving Data Compute Model Communication collection infrastructure building High-Tech Women in Science and Technology | 04.03.20

What is next? High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt What we like Drive Important Decisions Unique/Ever Changing Work with some really awesome people High-Tech Women in Science and Technology | 04.03.20

A data scientist’s journey: a personal account of what we have learnt Take home message Do not search for a clear path to become a data scientist: there is none! With every project you will learn something new! High-Tech Women in Science and Technology | 04.03.20

Thank you for your attention! Stuti Agrawal Eleonora Lippolis stuti.agrawal@merckgroup.com eleonora.Lippolis@merckgroup.com