Timo P. Kunz, Developer in London, United Kingdom
Timo is available for hire
Hire Timo

Timo P. Kunz

Verified Expert  in Engineering

Software Developer

Location
London, United Kingdom
Toptal Member Since
June 18, 2020

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.

SQLPandasPythonMATLABGoogle CloudAlgorithmsSQL Server DBAVisual Basic for Applications (VBA)DatabasesRSASSPSS ModelerAmazon Web Services (AWS)MySQLDatabase Development

Portfolio

Yoox Net-A-Porter Group
Amazon Web Services (AWS), SQL, Python
Morrison Supermarkets PLC
Google Cloud, SPSS Modeler, SQL, Python
Lancaster University
SQL, SAS, R, MATLAB

Experience

SQL - 10 yearsPython - 5 yearsPandas - 5 yearsGoogle Cloud - 2 years

Availability

Part-time

Preferred Environment

Google Cloud, Python, SQL Server DBA

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.

Work Experience

Senior Data Scientist

2016 - 2016
Yoox Net-A-Porter Group
  • 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: Amazon Web Services (AWS), SQL, Python

Data Scientist

2015 - 2016
Morrison Supermarkets PLC
  • 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: Google Cloud, SPSS Modeler, SQL, Python

PhD Candidate

2010 - 2014
Lancaster University
  • 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: SQL, SAS, R, MATLAB

Retail Consultant

2007 - 2010
SAP
  • 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: Databases, SAP, Visual Basic for Applications (VBA)

Main Publications

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).

Languages

SQL, Python, Visual Basic for Applications (VBA), R, SAS

Libraries/APIs

Pandas, Matplotlib, Scikit-learn

Paradigms

Data Science, Database Development, DevOps

Other

Quantitative Analysis, SAP, Data Structures, Algorithms, Optimization Algorithms, ERM, Optimization

Tools

MATLAB, SPSS Modeler, Amazon Simple Queue Service (SQS), SPSS

Industry Expertise

Retail & Wholesale

Platforms

Amazon Web Services (AWS), Google App Engine

Storage

SQL Server DBA, Databases, MySQL, Microsoft SQL Server, Google Cloud

2010 - 2014

PhD in Operations Research

Lancaster University - Lancaster, Lancashire, England

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring