Nufar Gaspar is a Data Science Vertical Manager at Intel focusing on creating a machine learning and big data solutions for the various R&D teams at Intel. The teams in her vertical create a vast range of data-science solutions on Hadoop and Spark-based platforms. The range of their solutions spans running algorithms to compile test lists to optimize resource consumption vs. test quality; solutions for finding hidden CPU bugs; through adv. methods to automate debug process and more. They use a variety of data science techniques from "classical" machine learning and pattern recognition techniques, through optimization & NLP techniques to deep learning and reinforcement learning, and more. Her organization includes teams of data scientists, big data SW developers, and AI specialist's product managers and analysts.

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We speak about:

• [02:00] How Nufar started in the data space
• [10:30] Nufar began to train new engineers
• [21:50] Focusing on bringing solutions to production
• [24:20] How Nufar picks what to work on
• [27:15] Putting algorithms inside Intel’s products
• [32:00] The infrastructure behind Intel’s machine learning
• [40:30] Returning to work after maternity leave
• [43:30] Women in Big Data
• [47:50] What excites Nufar most about data science
• [49:30] Advice for listeners

Resources:

Nufar’s LinkedIn: https://www.linkedin.com/in/nufar-gaspar-76b7424b/

Nufar’s Talk: https://www.youtube.com/watch?v=cx_2wAP40-g

Women in Big Data: https://www.womeninbigdata.org

Quotes:

• “You have to understand the different business processes.”
• “We are doing a complete business process redesign from scratch.”
• “For us to maintain our leadership position in AI, we have to continue running as fast as possible.”
• “Before I left for maternity leave, I had to negotiate with my managers to determine what position I would have when I return.”

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