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Bio

Oleksandr, Data Scientist in Ciklum, Bachelor of Computer Science Taras Shevchenko National University of Kyiv, author of scientific publications. Now Oleksandr is studying Data Science Master Program at Ludwig-Maximilians University of Munich. He has several brilliant developments in the natural language analysis field, practical experience in building predictive models in major international companies such as SAP AG. Oleksandr is a very intelligent person full of passion to his profession.

Predicting Unpredictable: How to bring value to the client who doesn't know what he wants?

AI for Business and Products

  • Session Language |English
Have you ever worked for a big company that wants to utilize Data Science, but doesn’t know how? Have you ever been given a large dataset with multiple data sources without a clear understanding of what is expected at the end? Does that sound familiar? This is a story on how to bring value to the client when the requirements are not clear from the very beginning. The client is a large investment fund of one large western country that wants to assess the investment attractiveness of startups. By itself, this is a good business question, but rather vague Data Science one. How to transform it into more mathematical terms? How to find a target variable in the pool of sparse data? If you've ever worked with a hard-to-communicate client or noisy data without a target variable - this presentation might be particularly interesting for you. It brings insights and possible solutions to the above-mentioned problems and shows how to survive in a difficult professional setting.

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