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Mathematics graduate with two Master's degrees, years of practical experience in software development, data science, and finance, and a strong interest in all things concerning machine learning, cryptography, and number theory. My unique background allows me to both understand the maths behind machine learning algorithms and implement the whole pipeline end-to-end, from data acquisition over processing and model training to the application. * Data Science: numpy, scipy, pandas, matplotlib, scikit-learn, jupyter * Using the Python data science stack to rapidly analyse and visualise data * Machine Learning: Regression, decision trees, SVM, neural networks, NER, data deduping * Applying common algorithms to various real-life situations, including data wrangling, training, testing, cross validating, and automating for production * Big Data: MapReduce, Hadoop, Oozie, Pig, HDFS * Processing massive amounts of data in a scalable fashion * Data Mining: Scrapy (web scraping framework), RDF, Marklogic, SPARQL, (No)SQL * Acquiring, cleaning, processing, storing, and updating data from various sources * Cloud Computing: Amazon Web Services (EC2, ECS, S3, Lambda, ES, SQS, SWF), Google Cloud Platform (App Engine, Datastore, Storage), Docker * Using the latest cloud technology to deploy and scale applications * Finance: Algorithmic trading, real time pricing, order management, blockchain technology * Implementing mathematical and computational models for complex financial systems * ...and more: Java, Django, Node.js, HTML, CSS, Angular.js, Phonegap, XML * Projects include mobile and web development (backend / full stack), web services, content processing (XML), and management (DAM) And always eager to learn new skills!
University of Cambridge
Master of Advanced Study, Mathematics
January 1, 2010 – January 1, 2011
Universität Hannover / University of Hanover
Master of Science (M.Sc.), Mathematics
January 1, 2009 – January 1, 2012
Universität Hannover / University of Hanover
Bachelor of Science (B.Sc.), Mathematics
January 1, 2006 – January 1, 2009
Wolt
Data Scientist
September 1, 2020 – Present
Helsinki sub-region, Uusimaa, Finland
MaaS Global Ltd
Data Scientist
April 1, 2019 – August 1, 2020
Helsinki sub-region, Uusimaa, Finland
IDT Messaging
Data & AI Engineer
February 1, 2017 – April 1, 2019
Helsinki sub-region, Uusimaa, Finland
Aspirant
Data Scientist
September 1, 2016 – February 1, 2017
Prime Coding
Freelance Software Developer
December 1, 2015 – September 1, 2016
Worldwide
Goldman Sachs
Algo & Quant Strategist, Associate
June 1, 2015 – December 1, 2015
London Area, United Kingdom
Yahoo
Backend Search Engineer
July 1, 2014 – May 1, 2015
London Area, United Kingdom
censhare AG
Solution Developer
September 1, 2013 – July 1, 2014
London Area, United Kingdom
Knowledge Transmission Ltd.
Software Developer
April 1, 2012 – August 1, 2013
Greater Cambridge Area
Leibniz Universität Hannover, Germany
Research Assistant
October 1, 2007 – February 1, 2012
Hannover-Braunschweig-Göttingen-Wolfsburg Region
Diakoniewerk Neues Ufer
Civilian service
August 1, 2005 – April 1, 2006
Schwerin, Mecklenburg-West Pomerania, Germany
Recommend.Games
October 1, 2018 – Present
Board game recommendation engine
Machine Learning
Coursera
June 24, 2026 – Present
Games without Chance: Combinatorial Game Theory
Coursera
June 24, 2026 – Present
Securing Digital Democracy
Coursera
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 2
Coursera
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Programming Cloud Services for Android Handheld Systems
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Web Application Architectures
Coursera
June 24, 2026 – Present
Cryptography I
Coursera
June 24, 2026 – Present
Computing for Data Analysis
Coursera
June 24, 2026 – Present
Computer Networks
Coursera
June 24, 2026 – Present
Creative, Serious and Playful Science of Android Apps
Coursera
June 24, 2026 – Present
Data Analysis
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, working in various companies from finance (Goldman Sachs) to tech (Yahoo, Wolt) and startups. The personal project 'Recommend.Games' shows initiative and a passion for problem-solving outside of work. The breadth of certifications, including 'Algorithms' and 'Functional Programming Principles in Scala', indicates a continuous learning mindset. However, the direct alignment with a 'Big Data Engineer' role is strong in some areas (Hadoop, data pipelines) but less explicit in others, suggesting a potential need to emphasize specific big data technologies.
Soft Skills & Operational Fit
The candidate's experience as a Research Assistant and Solution Developer suggests an ability to explain complex topics and mediate between stakeholders. The description of supervising freelance developers and coordinating projects at Aspirant indicates leadership potential and operational awareness. However, specific soft skill demonstrations are limited in the provided data.