Yu Yamashita

Yu Yamashita

Ing. Dipl. EPFL | Data Enthusiast

Hello!

This website is intended to introduce myself to you, and to present you some of my projects.

Got it :)

Professional Experience

Graduate Programme(Sep. 2019 - Expected Mar. 2021)
Bank Julius Baer, Zürich

  • 18-months programme with three different assignments
    • September 2019 - March 2020 : Learning Innovation (Zürich)
      • Learning Management data analysis and visualization
      • Webapps development to increase workflow efficiency
      • e-Learning courses creation
    • April - September 2020 : CRO Data Science
    • October 2020 - March 2021 : TBD

Data Analyst (Swiss Civil Service) (Sep. 2018 - May 2019)
Agroscope (Soil Fertility and Soil Protection Lab), Zürich

  • Swiss centre of excellence for agriculture research
  • Cleaning data and building Tableau Dashboards for supporting researchers

Data Scientist Intern (Feb. - Aug. 2018)
Swisscom (AI & ML Group), Zürich

  • Master's Thesis Project: Data Selection Strategies for Crowdsourcing Tasks
  • Data selection for improving Automatic Speech Recognition (ASR) accuracy in an unsupervised way

Teaching Assistant for Applied Data Analysis course (Sep. 2017 - Feb. 2018)
Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne

  • Helped setting-up the course with Prof. West and the team.
  • Graded homeworks and projects.

Business Intelligence Intern in Duty Free Information Services (Feb. - Aug. 2017)
Philip Morris International (PMI), Lausanne

  • Helped PMI Duty Free teams to make more informed business decisions by facilitating access to reliable and accurate information (Tableau Dashboards).
  • Supporting business planning and reporting by providing analysis of business data and market intelligence.

Business Development & Founding Team Member (Jul. - Dec. 2016)
TIMCO SA, Geneva

  • Worked on TIMCO Cloud: a solution enabling businesses to benefit from the latest file storage technologies without compromising on privacy.
  • Development of marketing strategy and materials.
  • Pre-sales engineering support.

Portfolio

project name

Dashboard for Prognolite (2018) (Food Hackdays Project)

Built a web app that displays data visualizations helping the farm staff to take better and informed decisions. Participated implementing the bundle suggestion system generated from receipt collection enabling the farm to find products that could be sold together.

dashboard web python

project name

World of Beer (2017)

Scraped beers features such as location, review ranking and comments, and computed their similarities. Built an interactive dashboard to give a data-driven visualization on beer location, its ranking and specifities based on reviews and similarities with others.

data viz web d3

project name

Exploring Switzerland’s patents history (2016)

Collected for over 50 years of patents abstracts authenticated in Switzerland. Computed topic extraction and dimension reduction to visualize the semantic path of innovation in Switzerland through the last 50 years.

nlp data analysis python

project name

Wine price, weather and grades understanding (2016)

Scraped weather, price and grade data for all french wine regions. Built an interactive dashboard to give data-driven back-ups on weather, wine quality and wine prices correlations. Also explored regression models to forecast the first retail price of a wine given weather and its past grades.

data viz prediction python

project name

Image Classification (2015)

As a first project in Machine Learning we were given pictures of 4 classes from ImageNet and our task was to classify them using usual ML classifiers. Best score was achieved with CNN features.

classification deep learning matlab