Senior Data Scientist
2022 - PRESENTAUTO1 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 - 2022TrueCue- 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
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
Portfolio
- AUTO1 GroupPython 3, SQL, Redshift, Amazon Web Services (AWS)
- TrueCuePython 3, SQL, Azure, Tableau, Microsoft Power BI, SQL Server 2017
Experience
- Mathematics 5 years
- SQL 3 years
- Python 3 years
- Optimization 3 years
- Azure 3 years
- Machine Learning 3 years
- Redshift 2 years
- Amazon Web Services (AWS) 2 years
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.
Employment
Experience
- 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.
Skills
Languages
Python, SQL, R, Java, Python 3Other
Machine Learning, Mathematics, Optimization, Economics, Game Theory, Statistics, Data Inference, Econometrics, Deep Learning, Natural Language Processing (NLP), Cluster Computing, Distributed Systems, Networks, Data WranglingLibraries/APIs
TensorFlow, Scikit-learn, Azure Cognitive Services, XGBoostTools
Visual Studio, Tableau, Microsoft Power BI, Azure ML StudioPlatforms
Amazon Web Services (AWS), Azure, Jupyter NotebookStorage
Databases, SQL Server 2017, Redshift, Data Lakes, Azure Blobs, Azure SQL
Education
- Master's Degree in Computer Science2020 - 2022University of York - York, United Kingdom
- Master's Degree in Management and Strategy2017 - 2018London School of Economics and Political Science - London, United Kingdom
- Bachelor's Degree in Economics2014 - 2017Sciences Po - Reims, France
Certifications
- Microsoft Certified: Azure Data Engineer AssociateNOVEMBER 2021 - PRESENTMicrosoft
- Microsoft Certified: Azure AI Engineer AssociateSEPTEMBER 2021 - PRESENTMicrosoft
- Tableau Desktop Certified AssociateJANUARY 2021 - PRESENTTableau
- Microsoft Certified: Azure Data Scientist AssociateJULY 2020 - PRESENTMicrosoft
