Ding Luo Email and Phone Number
Ding Luo work email
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Ding Luo personal email
I am an experienced Data Science and Analytics expert with impactful industrial experience (4+ years in the energy sector across different lines of businesses) and a robust academic foundation (PhD of applied data science in the transport & mobility sector). My career passion is to enable the improvement, growth and success of businesses through advanced digital technology and analytical techniques.My strengths are:- strong analytical & problem solving skills.- solid technical skills (Python development; cloud computing & deployment).- strong engagement and communication skills in multicultural and multinational business environments.To learn more about my professional journey and explore my research, I invite you to visit my personal page at https://dldingluo.com/.
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Senior Data ScientistShell Nov 2023 - PresentThe Hague, South Holland, NetherlandsSenior data scientist at the People Analytics team, a role that sits at the intersection of data science, business analysis, and organizational strategy to drive impactful insights for the organization and people agenda.▪ Delivering data science consulting projects in the HR domain to drive data-driven decision-making.▪ Leading team engagement initiatives to scope project opportunities across the HR function, driving alignment and collaboration.▪ Leading the optimization of team workflows by promoting best practices in data science and integrating internal tech stack, enhancing efficiency and collaboration.▪ Actively contributing to the internal data science community development. -
Technical Consultant - Industrial Mobility ElectrificationShell Jan 2023 - Oct 2023Amsterdam, North Holland, NetherlandsBroadening assignment at Shell's newly established Power Technology organisation as a data and digitalisation SME. I served as a technical consultant at the E-Mobility Fleet Design & Operations team, delivering end-to-end analytical and digital solutions for Shell's industrial electrification technological development in various fields, including mining, shipping and heavy duty road vehicles.
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Data ScientistShell Mar 2020 - Oct 2023Amsterdam, North Holland, NetherlandsMember of the customer centricity data science team and primarily contributed to internal projects in the business spaces of road transport & logistics, road safety, fuel pricing and E-Mobility.
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Ai ResidentShell Mar 2020 - Feb 2022Amsterdam, North Holland, NetherlandsJoined Shell as a data scientist through its global AI residency program upon completing my PhD. Completed this program in two years with both on-the-job and systematic course trainings (Udacity).
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Guest ResearcherTechnische Universiteit Delft Oct 2021 - Sep 2023Delft, South Holland, NetherlandsI am hosted as a guest researcher at TU Delft's AI for Mobility lab. My main role is to promote the research collaboration between Shell and TU Delft in the E-Mobility space. I also participate in research and outreach activities by supervising student projects and giving guest lectures about data science . -
Phd ResearcherTechnische Universiteit Delft Mar 2016 - Feb 2020Delft, South Holland, NetherlandsFully funded by the European Union through two Horizon 2020 R&D projects (SETA & My-TRAC), my PhD focused on analysing the complexities of public transport demand, supply, and their interactions using large datasets and advanced modelling techniques. Over the four-year program, I made contributions across research, education, industry, and society:▪ Research: Conducted innovative research in the domain of transport and mobility, resulting in 10+ publications in top journals and presentations at international conferences (350+ citations).▪ Education: Delivered lectures to master's students and supervised 5 students on research and graduation projects.▪ Industry: Contributed to the successful delivery of EU projects through modeling, project management, stakeholder engagement, and reporting.▪ Society: (Co-)Organized events on transport and mobility, engaging a wide range of societal stakeholders.
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Visiting ResearcherMonash University Aug 2018 - Sep 2018Melbourne, Australia▪ Research visit hosted by Prof. Graham Currie at the Public Transport Research Group. ▪ Conducted a collaborative study on analyzing public transport accessibility using network science techniques. -
Transport Engineer & Data AnalystShenzhen Urban Transport Planning Center Apr 2015 - Jan 2016Shenzhen, Guangdong, China
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Research AssistantKth Royal Institute Of Technology Sep 2013 - Mar 2015Stockholm, SwedenI worked as a research assistant on the CycleSim project. I performed cycling GPS data processing based on Kalman filtering and developed a method for modeling cyclists acceleration and deceleration processes.
Ding Luo Skills
Ding Luo Education Details
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Mobility And Transport Systems
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Transport And Geoinformation Technology
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Transportation Engineering & Advanced Mathematics
Frequently Asked Questions about Ding Luo
What company does Ding Luo work for?
Ding Luo works for Shell
What is Ding Luo's role at the current company?
Ding Luo's current role is Data Science & Digital Innovation.
What is Ding Luo's email address?
Ding Luo's email address is d.****@****elft.nl
What schools did Ding Luo attend?
Ding Luo attended Technische Universiteit Delft, Kth Royal Institute Of Technology, Beijing Jiaotong University.
What skills is Ding Luo known for?
Ding Luo has skills like Matlab, Data Analysis, Python, Research, Latex, Public Transport Data.
Who are Ding Luo's colleagues?
Ding Luo's colleagues are Kelston Titus, Luke Mayeaux, Micharl Fiea, Ehab Alsmadi, Matteo Casassa, Tyas Ramadhani, Karlie Mcdonald.
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