Erika Nitsch

Erika Nitsch Email and Phone Number

Head of Data Science and Product Analytics @ Moonpig
Cambridge, Cambridgeshire, United Kingdom
Erika Nitsch's Location
Greater Cambridge Area, United Kingdom, United Kingdom
Erika Nitsch's Contact Details

Erika Nitsch personal email

n/a
About Erika Nitsch

Experienced Data Science innovator and leader, with a unique ability to translate the complexity of cutting-edge AI to the clarity needed to deliver business needs. Demonstrated history of leading a full-stack Data Team, across big data engineering, data science and analytics. Entrepreneurial mindset used to transform state-of-the-art machine learning techniques into viable data products. In-depth knowledge of ecommerce and customer analytics. A proven track record of delivering business value through product analytics.

Erika Nitsch's Current Company Details
Moonpig

Moonpig

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Head of Data Science and Product Analytics
Cambridge, Cambridgeshire, United Kingdom
Erika Nitsch Work Experience Details
  • Moonpig
    Head Of Data Science And Product Analytics
    Moonpig
    Cambridge, Cambridgeshire, United Kingdom
  • Moonpig
    Head Of Data Science And Product Analytics
    Moonpig Apr 2024 - Present
    London, England, Gb
  • Flex Data, Inc
    Co-Founder
    Flex Data, Inc May 2022 - Present
    London, Gb
    Flex creates real-world skill profiles from how you play video games. Soft skill profiles are really valuable, for hiring and other things, but they're very hard to create. The best tests and surveys take too much time / effort, and other measures produce low-standard results. Video game data can give us a better measure.
  • Farfetch
    Head Of Data Science
    Farfetch Feb 2022 - Mar 2024
    London, London, Gb
  • Farfetch
    Senior Data Science Manager
    Farfetch Jul 2020 - Apr 2022
    London, London, Gb
  • Farfetch
    Data Science Manager
    Farfetch Sep 2019 - Jul 2020
    London, London, Gb
  • Dream Assembly
    Startup Mentor
    Dream Assembly Nov 2019 - Jul 2020
    Lisboa, Portugal, Pt
    Dream Assembly is a Fashion and Retail Tech Accelerator for high-potential startups that offers personalized support and unique access to Farfetch
  • Metail
    Head Of Data
    Metail Sep 2018 - Nov 2019
    Cambridge, England, Gb
    Manage a team of 5 data scientist, data engineers and data analysts using Agile Scrum methodology.Maintain data pipelines of event stream analytics across two products, with ETLs using a combination of Snowflake, AWS, Spark, Python and Clojure.Develop consumer-facing data products incorporating ML and AI (size recommendation, product recommendation, automated metadata tagging)Develop and deploy Computer Vision (Deep Learning) models for image processing automation. Champion an evidence-based product development strategy across the business.Evangelise analytics and data literacy for everyone. Enable data-based decision by making the right information available in the right format. Generate new research avenues and product strategy in Computer Vision and Deep learning. Conduct and analyse experiments in product performance (A/B testing, Anova)
  • Metail
    Data Science Lead
    Metail Dec 2017 - Jul 2019
    Cambridge, England, Gb
    Created a new data aggregation pipeline for operational data in PythonImplemented a new analytics strategy for operational data, facilitating 90% cost reduction. Developed data product strategy for the business, based on size recommendation, product recommendation, and computer-vision attribute tagging. Conducted B2B strategic research with potential clients internationally.
  • Metail
    Data Scientist
    Metail Jan 2017 - Dec 2017
    Cambridge, England, Gb
    Developed a model to predict customer conversion in ecommerce within 5 clicks with an AUC of 0.74 using Python's scikit-learn. Exploratory data analysis of customer body shape data in Python.Used clustering algorithms to predict customer preference for clothing types depending on body shape. Used BI tool (Looker) to develop internal and client facing KPIs and dashboards.Worked in Agile Scrum methodology using JIRA and version control.
  • Bgl Group
    Data Scientist
    Bgl Group Nov 2015 - Dec 2016
    Peterborough, Gb
    Used Ridge/Lass regression in R to predict car accident risk using hundreds of engineered featuresDeveloped robust, modular data analysis pipelines in R.Create unique, interative data visualizations using R Shiny.
  • University Of Oxford
    Postdoctoral Researcher
    University Of Oxford Apr 2013 - Oct 2015
    Oxford, Oxfordshire, Gb
    * Manage databases and provide statistical analysis of data in Excel and R* Develop laboratory protocols for analysis of carbon, nitrogen, sulfur and strontium isotopes in carbonized plant material* Provide training in statistical methods (hypothesis testing, regression models)* Develop tools for data visualization

Erika Nitsch Skills

Data Analysis Research Statistics Qualitative Research R Statistical Data Analysis Quantitative Research Public Speaking Teaching Stable Isotope Analysis Research Design Data Visualization Laboratory Skills Laboratory Techniques Science Microsoft Office Strategic Planning Strategic Leadership Statistical Modeling Machine Learning Computer Vision Deep Learning Python

Erika Nitsch Education Details

  • University Of Oxford
    University Of Oxford
    Archaeological Science
  • University Of Oxford
    University Of Oxford
    Archaeological Science

Frequently Asked Questions about Erika Nitsch

What company does Erika Nitsch work for?

Erika Nitsch works for Moonpig

What is Erika Nitsch's role at the current company?

Erika Nitsch's current role is Head of Data Science and Product Analytics.

What is Erika Nitsch's email address?

Erika Nitsch's email address is er****@****p.co.uk

What schools did Erika Nitsch attend?

Erika Nitsch attended University Of Oxford, University Of Oxford.

What skills is Erika Nitsch known for?

Erika Nitsch has skills like Data Analysis, Research, Statistics, Qualitative Research, R, Statistical Data Analysis, Quantitative Research, Public Speaking, Teaching, Stable Isotope Analysis, Research Design, Data Visualization.

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