Eliott Kalfon, Developer in Berlin, Germany
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Eliott Kalfon

Verified Expert  in Engineering

Data Scientist and Machine Learning Developer

Location
Berlin, Germany
Toptal 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.

Portfolio

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

Experience

Availability

Part-time

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.

Work Experience

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
TrueCue
  • 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, GPT, Generative Pre-trained Transformers (GPT)

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

2020 - 2022

Master's Degree in Computer Science

University of York - York, United Kingdom

2017 - 2018

Master's Degree in Management and Strategy

London School of Economics and Political Science - London, United Kingdom

2014 - 2017

Bachelor's Degree in Economics

Sciences Po - Reims, France

NOVEMBER 2021 - PRESENT

Microsoft Certified: Azure Data Engineer Associate

Microsoft

SEPTEMBER 2021 - PRESENT

Microsoft Certified: Azure AI Engineer Associate

Microsoft

JANUARY 2021 - PRESENT

Tableau Desktop Certified Associate

Tableau

JULY 2020 - PRESENT

Microsoft Certified: Azure Data Scientist Associate

Microsoft

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