Eliott Kalfon, Data Scientist and Machine Learning Developer in Berlin, Germany
Eliott Kalfon

Data Scientist and Machine Learning Developer in Berlin, Germany

Member since August 25, 2022
Eliott is a passionate data scientist and machine learning (ML) engineer with three years of experience managing and delivering machine learning projects that drive positive organizational changes. He thrives at handling challenging and ambiguous problems, using all tools at his disposal—ML, optimization, statistics—to make data-driven or automated decisions. Eliott's industry experience spans hospitality, life sciences, and healthcare in sales forecasting, pricing, and patient flow prediction.
Eliott is now available for hire


  • AUTO1 Group
    Python 3, SQL, Redshift, Amazon Web Services (AWS)
  • TrueCue
    Python 3, SQL, Azure, Tableau, Microsoft Power BI, SQL Server 2017



Berlin, Germany



Preferred Environment

Amazon Web Services (AWS), Azure, Visual Studio, Python, SQL

The most amazing...

...machine learning model I've built into production is an hourly sales forecasting model for more than 180 venues to inform staffing and inventory decisions.


  • Senior Data Scientist

    2022 - PRESENT
    AUTO1 Group
    • Developed and deployed machine learning models used throughout the Auto1 Group platforms.
    • Monitored deployed machine learning models in terms of business and statistical metrics.
    • Engaged with business stakeholders on problem definition.
    Technologies: Python 3, SQL, Redshift, Amazon Web Services (AWS)
  • Data Science Consultant

    2019 - 2022
    • Designed a novel machine learning-assisted pricing method for a UK pharmaceutical company yielding a 15% increase in margins.
    • Managed the delivery of advanced analytics projects generating more than £100,000 in revenue.
    • Developed a linear programming optimization tool to improve raw material allocation for a large Financial Times Stock Exchange 100 Index consumer goods company driving higher product quality and a 12% reduction in monthly waste.
    • Contributed as a mentor and organizer to recruitment hackathons, including the TrueCue Women In Data Hackathon (2020 and 2021) and the London School of Economics 2022 Data Science Datathon, aiming to open data science roles to a wider audience.
    • Developed dashboards for NHS North West London to monitor hospital bed utilization and COVID-19 patient outcomes in April 2020, used by the hospital administration board throughout the pandemic.
    • Built an ML-based auto-dimensional modeling feature for an in-house product using Databricks Notebooks and PySpark.
    Technologies: Python 3, SQL, Azure, Tableau, Microsoft Power BI, SQL Server 2017


  • Hourly Sales Forecasting for Parkdean Resorts

    An hourly sales forecasting model was developed and deployed for 180 venues. The model allowed Parkdean Resorts to plan staffing and inventory based on reliable and highly granular sales forecasts on the Power BI dashboard available on mobile.

    SQL Server and Python powered the solution. The model was XGBoost, periodically retrained, and re-optimized with a genetic algorithm.

  • Pricing Opportunity Detection for a Global Pharmaceutical Company

    A novel ML-assisted pricing method was designed for a UK pharmaceutical company yielding a 15% increase in margins.

    The model leveraged time-series market signal features to detect unusual market conditions and volatility. It then flagged products or SKUs and brought them to the attention of the pricing team.

    The model was built and deployed with Python and SQL on a Microsoft tech stack.


  • Languages

    Python, SQL, R, Java, Python 3
  • Other

    Machine Learning, Mathematics, Optimization, Economics, Game Theory, Statistics, Data Inference, Econometrics, Deep Learning, Natural Language Processing (NLP), Cluster Computing, Distributed Systems, Networks, Data Wrangling
  • Libraries/APIs

    TensorFlow, Scikit-learn, Azure Cognitive Services, XGBoost
  • Tools

    Visual Studio, Tableau, Microsoft Power BI, Azure ML Studio
  • Platforms

    Amazon Web Services (AWS), Azure, Jupyter Notebook
  • Storage

    Databases, SQL Server 2017, Redshift, Data Lakes, Azure Blobs, Azure SQL


  • Master's Degree in Computer Science
    2020 - 2022
    University of York - York, United Kingdom
  • Master's Degree in Management and Strategy
    2017 - 2018
    London School of Economics and Political Science - London, United Kingdom
  • Bachelor's Degree in Economics
    2014 - 2017
    Sciences Po - Reims, France


  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure AI Engineer Associate
  • Tableau Desktop Certified Associate
  • Microsoft Certified: Azure Data Scientist Associate
    JULY 2020 - PRESENT

To view more profiles

Join Toptal
Share it with others