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钱川远

Data Scientist

Artefact

简介

A data scientist

兴趣爱好

  • 机器学习
  • 数据可视化
  • 商业化
  • 数据分析

教育经历

  • 数据科学双学位, 2019-2020

    巴黎综合理工

  • 工程师学位, 2016-2020

    巴黎综合理工

  • 应用数学, 2012-2016

    同济大学

Skills

Excel

Proficient in Excel

SQL

Proficient in SQL

Machine Learning

Development and optimisation of Machine Learning model

Power BI

Power BI for business analysis, dashboard, data visualisation

Python

Pandas, Pytorch

Statistics

Optimisation for Data Science

Java

Used java a lot for algorithms

R

Used R for statistics

Experience

 
 
 
 
 

Data scientist

Artefact

Jun 2020 – 现在 Shanghai, China

Play the role of Data Scientist in the team, cooperate with consultant and data engineer to deliver the solution/product.

Responsibilities include:

  • Design the logic behind the solution
  • Design the A/B test
  • Data assessment
  • Data analysis for the data from client
  • Trend detection
  • Profiling
  • Build the dashboard

 
 
 
 
 

Data scientist consultant (Alternance)

Argon & Co (Ex. Argon Consulting)

Nov 2019 – Apr 2019 Levallois, France
Responsibilities include:

  • Research on Explainable AI
  • Help the clients to better organise their procurement by using Machine learning methods
 
 
 
 
 

Data scientist consultant (Intern)

Argon & Co (Ex. Argon Consulting)

Apr 2019 – Aug 2019 Levallois, France
Responsibilities include:

  • Development of Machine Learning models to forecast sales of new products
  • Estimate the effects of cannibalization
  • Help the clients to optimise the assortment
 
 
 
 
 

Private equity analyst (Intern)

Trail

May 2018 – Aug 2018 Paris, France
Responsibilities include:

  • Studies of target companies
  • Participation in modelling and the valuation of companies (LBO modelling …)
 
 
 
 
 

Assistant professor (Civilian service)

Edmond-Perrier High School

Oct 2016 – Apr 2017 Tulle, France
Responsibilities include:

  • Assistant Professor in Mathematics and Computer Science

Accomplish­ments

Corporate Finance

Coursera Nov 2019
查看证书

Introduction to Spreadsheets and Models

Coursera Nov 2019
查看证书

Projects

Sales forecasts

Apr 2019 – Jul 2019
Sales forecasts using state-of-the-art Machine Learning methods which will be used for organizing assortment.

Anomaly detection

Sep 2018 – Dec 2018
Finding the origin of anomalies and to explain them by using the methods of Machine Learning based on an immense database containing several thousand features.

Collective scientific project

Oct 2017 – Apr 2018
A scientific project about analyzing road accidents based on data from INSEE, in partnership with the Eiffage construction group.

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