About me: Cao Tri DO, PhD

Authors:

Cao Tri DO <cao-tri.do@keyrus.com>

Version:

2024-05

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About me

Holder of a PhD in Data Science & AI, I assist clients in their projects ranging from defining a strategy based on data & analytics use cases, to the valorization and management of their data, and the agile implementation of data analysis and data science solutions. I rely on a rich and solid experience through numerous projects over more than a decade of experience.

My various missions have led me to:

  • Lead workshops to define data needs and use cases (CD13, Legisway, URW, SARA, …)

  • Lead cross-functional data teams (analysts, architects, scientists) in diagnosing existing solutions and/or implementing data products (SNCF, BNPP, Arkopharma, RTL, Korian, Castomara …)

  • Implement automated data processing pipelines (Python, Alteryx, Dataiku, Knime)

  • Assist clients in implementing Data Analytics / data visualization solutions (Power BI, Tableau Software)

  • Assist clients (EDF, BNPP, IHF, Kantar, Materne, M6, …) in implementing Data Science solutions (prediction, segmentation, NLP, computer vision) and data quality (DQ IA)

  • Lead training sessions (Data Science, Storytelling, Power BI, Tableau Software) around Data (Le Pont Learning, Kering, EM Lyon, UCO, SNCF, URW …)

Past Experiences

Company

Role

Period

Comment

Keyrus

Tech Lead Data Science & Analytics / Senior Manager

2023 - Present

Keyrus Centre Est / TAB

Mazars

Head of Data Science & Analytics France / Senior Manager

2021 - 2023

Data Services Paris

Novencia

Tech Lead Data Science & Analytics / Head of DataLab

2019 - 2021

Data Consulting

KPMG

Data Scientist Senior

2017 - 2019

D&A Team in Paris & Lyon

Schneider Electric

PhD Machine Learning / Research Engineer

2013 - 2016

Analytics for Solution (A4S)

Publications

  • Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification 2017 - Information Sciences 418, 272-285

  • Apprentissage de métrique temporelle multi-modale et multi-échelle pour la classification robuste de séries temporelles par plus proches voisins (Multi-modal and Multi-scale Temporal Metric Learning for robust nearest neighbors classification) 2016 - Thèse Université Grenoble Alpes

  • A Multi-modal Metric Learning Framework for Time Series kNN Classification 2015 - International Workshop on Advanced Analysis and Learning on Temporal Data, p.131-143

  • Temporal and Frequential Metric Learning for Time Series kNN Classification Sept. 2015 – ECML-PKDD’2015 Workshop on Advanced Analytics and Learning from Temporal Data

  • Multiple Metric Learning for large margin kNN Classification of time series Sept. 2015 – Signal Processing Conference (EUSIPCO), 2015 Proceedings of the 23rd European

Examples of some of my realization

Room Emergency Dashboard

This project is a dashboard where Cao Tri’s has won the international competition of Storytelling with Power BI in 2023. This example show a good example and look and feel of the type of dashboard and design we are making within the team.

The objective was to create a dashboard that allows to monitor the operations of an emergency department in a hospital. The client was interesting to see the evolution of the number of patients in the emergency room, their satisfaction, etc. and to demonstrate that there was an equity while taking care of the patients.

For more information about how we develop Power BI dashboards within the team, do not hesitate to consult the section about Power BI.

More information