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Timo P. Kunz

Timo P. Kunz

London, United Kingdom
Member since May 23, 2016
Timo is a data scientist and former IT consultant with a quantitative PhD and over 10 years of retail, eCommerce, and pricing experience. He has implemented state-of-the-art statistical methods for a variety of small and mid-sized companies mainly using the SQL/Python data science tech stack and Google Cloud environment.
Timo is now available for hire
Portfolio
Experience
  • SQL, 10 years
  • Python, 5 years
  • Pandas, 5 years
  • Google Cloud, 2 years
London, United Kingdom
Availability
Part-time
Preferred Environment
SQL DB, Python, Google Cloud
The most amazing...
...thing I have done in terms of monetary impact, is the implemention of various predictive customer value models. One model improves a plethora decisions.
Employment
  • Senior Data Scientist
    Yoox Net-A-Porter Group
    2016 - 2016
    • Developed customer behavior models (e.g. customer value, various segmentations, and algorithmic customer feature identification).
    • Implemented and tested models and algorithms that were created (e.g. gender identification for personalization; customer value for bidding and conversion optimization).
    Technologies: Python, SQL, AWS
  • Data Scientist
    Morrison Supermarkets PLC
    2015 - 2016
    • Conceptualized, coded, and implemented various customer behavior models (e.g. delivery slot pricing, customer lifetime value, customer lapse propensity).
    • Analyzed ad hoc projects in order to inform business decisions (e.g. range, targeting, conversion, advertisement).
    • Pioneered predictive and prescriptive data sciences in the online business.
    Technologies: Python, SQL, SPSS Modeler, Google Cloud
  • PhD Candidate
    Lancaster University
    2010 - 2014
    • Studied for my PhD in operations research (main research interest: demand modelling for retail pricing and revenue management, operationalization of transaction retail data).
    • Wrote a thesis titled: ”The retail revenue management problem: studies on the interplay of data, demand, and price models”.
    • Wrote papers that were published. More details can be found in my portfolio.
    Technologies: MATLAB, R, SAS, SQL
  • Retail Consultant
    SAP
    2007 - 2010
    • Worked as a consultant for analytical retail price optimization solution.
    • Implemented projects for international retail clients (e.g. Boots, and Dansk Supermarked).
    • Did analytical work as a member of the global competence center “Retail Price Optimization”.
    Technologies: Various SAP products, Various Databases, VBA
Experience
  • Main Publications (Other amazing things)

    Wrote a paper that was published: "The impact of practitioner business rules on the optimality of a static retail revenue management system - An empirical analysis of the solution space" in the Journal of Revenue & Pricing Management 14, 198-210 (June 2015). It was about the effect of data preprocessing on a retail price optimization system. Also was published in Decision Support Systems 84, 16-27 (February 2016).

Skills
  • Languages
    SQL, Python
  • Libraries/APIs
    Pandas, Matplotlib, Scikit-learn
  • Paradigms
    Data Science, Database Development, DevOps
  • Other
    Quantitative Analysis, Retail, ERM, Optimization, Algorithms, Optimization Algorithms, Data Structures
  • Tools
    MATLAB, SPSS, AWS SQS
  • Platforms
    Google App Engine
  • Storage
    MySQL, Microsoft SQL Server, Google Cloud
Education
  • PhD in Operations Research
    Lancaster University - Lancaster, Lancashire, England
    2010 - 2014
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