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Jingcheng Wu is listed as Happy data engineer based in Houilles, Île-de-France, France. AeroLeads shows a matched LinkedIn profile for Jingcheng Wu.
Jingcheng Wu previously worked as AI lab intern at Bnp Paribas Corporate And Institutional Banking and Optimisation and data engineer intern at Delphi. Jingcheng Wu holds Master Degree, Optimization And Data Science from Ensta Paristech - École Nationale Supérieure De Techniques Avancées.
I strongly believe that Data is the new fuel in the modern world and data science is the new engine of the future. I am a keen and fast learner who is always curious and thrilled to extend my mind and dive into the latest technologies. I am highly proactive and self-motivated, capable of working under pressure and overcoming difficulties. I have full experience in projects involving Data Science, including creating data sets from scratch, building models, error analysis, model validation and final product delivery to the customers. Thanks to my experience, I am used to working in a team with diverse backgrounds under both technical and business atmospheres. I am also familiar with project management using gitlab, Bitbucket, docker and Azure tools like Data Lake. If you share the same background as me or looking for someone with such background, don’t hesitate to contact me, I am eager to share my experience with you.Key words: data science， machine learning， deep learning， engineer， optimisation， NLP， financial documents，information extraction
Listed skills include Matlab, Python, R, C++, and 10 others.
A career timeline built from the work history available for this profile.
Paris Area, France
Financial documents parsing: automatic information extraction (NLP project)- Data set building, tokenization and labelling using an efficient method - Development and improvement of automatic tool by using classic machine learning technologies (feature engineering, bagging, boosting, linear classifiers)- Research and implementation of deep learning.
Luxembourg
Advanced methodology for automatic calibration- Automatic calibration tool development for diesel engine- Exploration and pre-processing of data (Python, VBA)- Development and implementation of machine learning algorithms (MATLAB)- Optimisation of engine efficiency while minimising the emissions- User-friendly graphical interface development and.
CMAP, Palaiseau, France
Clinical trial simulation by R- Comparison of different scenarios- Development of graphical user interface using R package Shiny- Integration of relevant statistical test into the tool.
Quick answers generated from the profile data available on this page.
Jingcheng Wu is listed as Happy data engineer.
Jingcheng Wu is based in Houilles, Île-de-France, France.
Jingcheng Wu has worked for Bnp Paribas Corporate And Institutional Banking, Delphi, and École Polytechnique.
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Jingcheng Wu holds Master Degree, Optimization And Data Science from Ensta Paristech - École Nationale Supérieure De Techniques Avancées.
Jingcheng Wu is listed with skills including Matlab, Python, R, C++, Vba, Latex, Sql, and Jekyll.
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