Empowering Employee Experience via Advanced Analytics

This presentation highlights a few user cases how advanced analytics can help improve employee experience. One user case focuses on developing a recommendation engine for the learning platform to maximize employee experience. Dynamic employee-based recommendations will enable employees to close the gap in personal upskilling & reskilling needs/requirements. Another user case utilizes text analytics to analyze job descriptions, extract skills from job descriptions, identify skill adjacencies for internal movers and identify suitable learning content to close skill gaps.

• Improving Employee Experience & Engagement
• Recommendation Engines for Learning Platforms
• Employee Learning pathway quality improvement
• Text analytics in HR, upskill/reskill

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Muge Guclu – Senior Data Scientist | Shell, The Netherlands

Muge Guclu is a Senior Data Scientist at Shell’s People Analytics team. Before joining Shell, she has been working in various industries including Telco, Banking, Insurance, Internet and Retail as data scientist/analytics consultant and has worked in Turkey, UAE and The Netherlands. Muge holds a MSc in Operations Research from Koc University.

Yuyu Zeng – Data Scientist | Shell, The Netherlands

Yuyu Zeng is a Data Scientist at Shell’s People Analytics team. Before joining Shell, he has worked on various data science/machine learning projects including matching candidates’ resumes with job descriptions in the HR industry, sales forecasting to a commodity level in the e-commerce sector, helping cycling teams to identify young talents at an early age. He holds a Ph.D. in econometrics specialized using mathematical tools to solve resource allocation problems including water and renewable energy resources.