I'm Jakub Waller.-image
Decarbonising supply chains @ shipzero

I'm Jakub Waller.

I'm a Hamburg-based Data Scientist, working in climate, at shipzero. Because there is no Planet B.

In my free time, you can catch me cycling Planet A, exploring its climate in various warming scenarios (+1.5°, +2.0°…) using my Probable Futures Bot, coding civic Telegram bots, reading an interesting book, or playing the guitar.

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About

A short story so far.

Jakub Waller
Hamburg · DE

Jakub Waller

For the past 2+ years I've been a Data Scientist at shipzero, helping decarbonise global supply chains — building emission models, ML pipelines and data products that turn messy logistics data into actionable carbon insights. Because there is no Planet B.

Before that, I spent five years at Qimia GmbH on a wide range of Data Science, Machine Learning and Data Engineering projects, then took a year off to travel around our beautiful Planet A. That trip is what convinced me to dedicate the rest of my career to climate and data.

I graduated from the Czech Technical University in Prague with a master's thesis on time series classification using artificial neural networks, with exchange semesters at the University of Waterloo (Canada) and TalTech (Estonia). Earlier roles include Mibcon a.s. (SAP portal apps in Java/AngularJS) and bioinformatics work at the National Institute of Public Health.

Location
Hamburg, Germany
Age
34
Nationality
Czech & German
Interests
Cycling, books, music
Study
Czech Technical University of Prague,
University of Waterloo,
TalTech – Tallinn University of Technology
Employment
shipzero (2+ years)
Resume

Career, education & craft.

Experience

Data Scientist

shipzero by Appanion Labs GmbHJanuary 2024 — present

Decarbonising global supply chains. Building emission models, ML pipelines and data products that turn messy logistics data into actionable carbon insights for shippers and carriers.

Data Scientist

Qimia GmbHNovember 2017 - November 2022

Working on various projects involving Data Science, Machine Learning and Data Engineering topics using a wide range of technologies.

Research Scientist

Czech Technical University in PragueFebruary 2017 - October 2017

Comparing various architectures of artificial neural networks (convolutional neural networks, long short-term memory neural networks, and gated recurrent units) on a set of time series classification data sets in terms of the ability to learn, the effectivity of the training process, and the classification performance.

Java & JavaScript Developer

Mibcon a.s.March 2015 - October 2016

Programming SAP portal applications in Java, AngularJS and HTML for a web portal for ČEZ Distribuce, a.s.

Network Administrator

Charles University in PragueApril 2013 - October 2017

Maintenance of computers and other technical devices at the Institute of Immunology and Microbiology.

Bioinformatics Analyst

The National Institute of Public HealthSeptember 2013 - June 2014

Extracting information from rRNA using various bioinformatics software.

Education

Master of Science in Informatics

Czech Technical University in Prague2014-2017
Study Field: Knowledge Engineering
Main Topics: Pattern Recognition, Data Mining Algorithms, Data Preprocessing, Enterprise Data Warehouse Systems, Parallel Algorithms
Master’s Thesis: “Time Series Classification with Artificial Neural Networks” (B/1.5)

Exchange semester

University of Waterloo05/2016-09/2016
Main topics: Artificial Intelligence, Forecasting

Erasmus programme

TalTech – Tallinn University of Technology08/2014-01/2015
Main topics: Robotics, Malware, Analysis of Programming Languages

Bachelor of Science in Informatics

Czech Technical University in Prague2011-2014
Study Field: Computer Science
Main Topics: Programming Languages and Compilers, Algorithms, Operating Systems, Database Systems, Security, Artificial Intelligence
Bachelor’s Thesis: “Simulation of a Quantum Particle on a Twisted 2D Waveguide” (B/1.5)
Skills
Spoken languages
Czech100%
English90%
German80%
Data Science
Python90%
SQL90%
Spark90%
Machine Learning
XGBoost90%
scikit-learn90%
Metaflow+MLflow70%
Cloud
AWS90%
Azure90%
GCP80%
Certificates

34 Things to Know about Carbon and Climate

LinkedIn LearningOctober 2023

How to Get a Job in Climate

LinkedIn LearningOctober 2023

ChatGPT Prompt Engineering for Developers

DeepLearning.AIOctober 2023

Data Visualization

KaggleNovember 2022

Deploying Machine Learning Models in Production

CourseraJuly 2022

Machine Learning Engineering for Production (MLOps)

CourseraJuly 2022

Machine Learning Modeling Pipelines in Production

CourseraApril 2022

Machine Learning Data Lifecycle in Production

CourseraNovember 2021

Introduction to Machine Learning in Production

CourseraAugust 2021

Microsoft Certified: Azure AI Fundamentals

MicrosoftMay 2021
Course Certificate ID: H828-3446
Get in touch

Let's chat!

Curious about climate-tech, data, or just want to say hi? My inbox is open.