Curriculum Vitae

Last Updated on Oct 10, 2022

Joffrey Mayer, Profilbild
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Education

  • M.S. in Economics and Data Science, University of Zurich, 2020
  • B.S. in Economics and Banking & Fincance, University of Zurich, 2018

Primary interests: Econometrics, Causal Inference, Web Development.
Secondary interests: Entrepreneurship, Machine Learning, Time Series Analysis, Behavioral Economics.

Work Experience

2022

2021

  • Internship in Data Science at the SBB, Energy Department, Apr. 2021 - Dec. 2021
    • Development of a Cloud-Compatible and modular Python-Framework, which enabled the SBB-Trading Desk to query (via an API) Forecasts of future (hourly) energy-prices. The Predictions were made by our own Time-Series Model, which we is able to be trained daily (via CRON-Job).
      • Stage 1: Acquiring Expert-Knowledge via the SBB-Stakeholders & various Studies, as well as learning how to work on the SBB-Cloud environment (OpenShift).
      • Stage 2: Exploratory Analysis on our Data Set, in order to verify the Reliability of our Data.
      • Stage 3: Testing of different Modeling Strategies, by statistically comparing our Forecasting-Models.
      • Stage 4: Meticulous Documentation of the Project’s Results & Steps.
    • Technologies Used: Working with Python in a Time-Series setting using libraries such as sktime or prophet.
    • Version-Control via Git & Bitbucket.

Data Analyses

The 12.7 Million Dollar Question: What is the Effectiveness of Crime Prevention in New York City?
Using aggregated monthly crime data, we find that the $ 12.7 Mio. Program successfully reduced weapon crimes in the treated areas, especially among individuals under the age of 25.

Predicting Football Matches with a Neural Network (with L. Breitenmoser)
Using a deep neural network we attempt to predict matches (win, draw, loss) in the four largest European leagues over the past 14 seasons. Given data that is available before each match, we can predict 54 percent of all results correctly.

France’s Economy during the Interwar Period
I investigated empirically, whether - during the great depression (1929) - France’s economy truly collapsed because of potential macroeconomic causes discussed in the literature.

An Empirical Analysis of the Formation of Sport Preferences in Switzerland; with a Focus on Inter- and Intragenerational Factors
I apply Discrete Choice Methods & K-Nearest Neighbour Matching in order to study people’s sport choices over time.

Professoren in der Westschweiz
An analysis of how the University of Lausanne developed itself over a 114 Years Time Period (1800-1914).

Skills

Computational

  • IDEs: VS Code, PyCharm, R
  • Programming: R, Python, Matlab
  • Design: LaTeX, Markdown, CSS
  • Cloud: Github, Bitbucket, VTX, HostPoint
  • Deployment: Netlify
  • Other: Git, SQL, Unix, Docker

Languages

  • German (native)
  • French (native)
  • English (fluent)
  • Italian (conversational)

References

  • T. Mayer, Audiophil-Dreams
  • N. Riahi & P. Wenk, SBB
  • R. Winkelmann, University of Zurich
  • U. Woitek, University of Zurich
  • D. Gassmann, Introduction to Coding
  • As well as any anonymous awesome Person on the Internet from which I learned from!

Contact