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
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.
2022 Day 2 | Stage 2 Applied People & Workforce Analytics
Muge Guclu – Senior Data Scientist & Yuyu Zeng – Data Scientist | Shell – The Netherlands