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Work Background
Founder
SYNCORB-AIFounder
Jul. 2024Georgia, TbilisiAt Syncorb AI, we specialize in delivering cutting-edge API services and innovative mobile app solutions that transform and enhance workflows across multiple industries. Our technology doesn't just streamline operations—it unlocks new opportunities. By combining advanced APIs and intuitive mobile applications, we empower businesses in horticulture, fashion, home goods, dynamic pricing, HR, legal solutions, and energy trading to achieve greater efficiency, accuracy, and growth. В Syncorb AI мы специализируемся на передовых API-сервисах и инновационных мобильных приложениях, которые трансформируют и улучшают рабочие процессы в различных отраслях. Наши технологии не просто оптимизируют операции — они открывают новые возможности. Объединяя мощные API и интуитивно понятные мобильные приложения, мы помогаем бизнесу в таких сферах, как садоводство, мода, товары для дома, динамическое ценообразование, HR, юридические решения и энергетический трейдинг, достигать большей эффективности, точности и роста
Data Scientist
P1 travelData Scientist
Nov. 2023 - Jun. 2024Netherlands, LeidenThe largest ticketing company in Europe, collaborating with the world's biggest sports clubs, venues, tournaments, and organizations, including major European football clubs (Premier League), Formula 1, Rugby World Cup, Paris 2024 Olympics, Wimbledon, and more. ** Developed and implemented dynamic price and demand prediction models using machine learning and statistical analysis, optimizing revenue and operational planning for major events. ** Built scalable machine learning pipelines on Azure Databricks to process large datasets and generate actionable insights with PowerBI for demand planning and optimization. ** Collaborated with cross-functional teams to align price models with business objectives, improve forecast accuracy, and enhance data-driven decision-making. ** Technologies/frameworks used: Python, SQL, Streamlit, Azure Databricks / Spark, PowerBI, Git, Machine Learning, Big Data Analytics.
Data Engineer / Business Analyst
de VolksbankData Engineer / Business Analyst
Mar. 2023 - Apr. 2025Netherlands, Utrecht** Member of the Data Backbone & BI team, responsible for ensuring compliance and optimizing data governance processes. ** Designed and implemented logical, physical, and conceptual data models to support process automation and improve regulatory compliance (A-IRB framework). ** Designed and implemented data models within staging/intermediate/output structure with testable SQL logic, version control (Git), and documentation, similar to DBT-driven development processes. ** Acted as Business Analyst, bridging the gap between business and technical teams and providing guidance on futureproof data modeling, ETL, and integration strategies. ** Technologies and tools: Python, Streamlit, SQL (PL/SQL-like concepts in Teradata), Teradata, PowerDesigner, Morpheus, OpCon, BitBucket, Scrum/Agile.
Co-Founder / Data Scientist
Flori-AI B.V.Co-Founder / Data Scientist
Sep. 2022 - Sep. 2024Netherlands, Rotterdam** Developed and implemented demand prediction models that optimized product allocation and inventory management for the flower trade, reducing stock shortages and improving fulfillment efficiency. ** Designed and implemented end-to-end data pipelines to ingest, process, and analyze large volumes of transaction and inventory data, enabling real-time demand predictions and automated inventory replenishment strategies. ** Utilized machine learning techniques, such as time series forecasting and clustering, to segment customer purchase patterns and anticipate demand fluctuations, improving product availability and reducing waste. ** Technologies: Python, PostgreSQL, FastAPI, Docker, Machine Learning, Data Pipelines, Forecasting Models.
Data Scientist
ANWBData Scientist
May. 2022 - Dec. 2022Netherlands, The Hague** Designed and implemented advanced forecasting models to optimize resource allocation for roadside assistance operations, improving service level efficiency and reducing response times. ** Applied statistical modeling and machine learning techniques to predict seasonal demand fluctuations, ensuring optimal staffing and resource planning. ** Collaborated closely with operational and supply chain teams to integrate forecast insights into planning processes, resulting in improved cost efficiency and service availability. ** Utilized AWS cloud solutions and Python to build scalable forecasting pipelines for real-time analysis and scenario planning. ** Technologies/frameworks used: Python, Machine Learning, JavaScript, AWS, SQL, Docker, Git, Scrum/Agile.
Technical Lead Digitalization
APG Asset ManagementTechnical Lead Digitalization
Feb. 2021 - Feb. 2023Netherlands, Amsterdam** Designed and implemented logical and physical data models for the analysis of fixed-income portfolios, in line with best practices for data warehousing to support regulatory compliance and reporting needs. ** Developed Azure-based data pipelines to automate data integration processes and improve data quality in diverse financial datasets. ** Collaborated with cross-functional teams to define business requirements and translate them into scalable data models for portfolio management and analysis. ** Implemented CI/CD pipelines, enabling efficient deployment and maintenance of data infrastructure in an Agile/DevOps environment. ** Created interactive dashboards using a combination of Python / R and Qlik / Alteryx, providing actionable insights for portfolio managers and analysts. ** Technologies: Python, R, SQL, Streamlit, PowerBI, Azure DevOps, Snowflake, Qlik, Alteryx, Git, SAP.
Co-Founder
Floradex B.VCo-Founder
Sep. 2020 - Jan. 2025Netherlands, Rotterdam** Developed innovative solutions for the horticulture sector using Deep Learning, Computer Vision, Natural Language Processing, and Machine Learning. ** Built scalable data architectures that processed structured and unstructured data from various sources, enabling accurate forecasts and improving operational efficiency. ** Implemented real-time data processing pipelines using Elasticsearch and MongoDB to enable rapid decision-making based on changing market demands. ** Developed and implemented computer vision models for quality control and product classification, improving execution accuracy and reducing manual processing efforts. ** Development of LLM-based QA functionality for internal chatbot and visual search applications using OpenAI APIs, set up with FastAPI, Docker, and integrated with Elasticsearch/vector stores (RAG architecture). ** Set up automated deployment with Ansible for rolling out Docker containers (FastAPI backend, Elasticsearch, and web app) on a DigitalOcean droplet. ** Technologies used: Python, FastAPI, React, React-Native, JavaScript, Typescript, Flask, Elasticsearch, MongoDB, Ansible, PyTorch, Docker, Git, Neo4J, Visual Search, Data Analytics.
Financial Model Developer
AEGONFinancial Model Developer
Mar. 2020 - Apr. 2021Netherlands, The Hague** Developed and maintained cloud-based financial models, collaborating with Data Engineers to define data requirements and ensure seamless integration into financial analysis workflows. ** Advised Data Engineers on data formats, structures, and sources to optimize data pipelines for model performance and accuracy. ** Designed and validated logical and conceptual data models to support financial modeling and reporting requirements. ** Automated workflows and improved model scalability using Azure DevOps, SQL, and Python in an Agile/DevOps environment. ** Technologies/frameworks used: Python, R, PowerBI, SQL, Azure DevOps, Git, Scrum/Agile.
Data Scientist
ASaP B.V.Data Scientist
Dec. 2019 - Feb. 2020Netherlands, Amsterdam** Developed algorithms to calibrate gas analysis sensors using machine learning and Deep Neural Networks (DNN). ** Keywords: Python, Machine Learning, DNN, predictive maintenance
Data Scientist
Ministerie van Sociale Zaken en WerkgelegenheidData Scientist
Dec. 2018 - Feb. 2020Netherlands, The Hague** Worked on various greenfield projects for information-driven applications such as detecting business fraud and financial analyses. ** Technologies/frameworks used: R, Python, Git, SQL, Dashboard development, NLP, Text Mining, Scrum/Agile.
Quant Developer - Business Analyst
DeloitteQuant Developer - Business Analyst
Dec. 2017 - Jul. 2018Netherlands, Amsterdam** Support for Deloitte as an independent reviewer/audit for Rabobank in the "Universal Recovery Framework for Interest Rate Derivatives". ** Technologies used: Python, R, C#, Git, SQL
Model Developer
AEGONModel Developer
Jun. 2016 - Oct. 2017Netherlands, The Hague** Led a team of 5 people to set up an operational cloud computing framework for portfolio management. ** Technologies / Frameworks used: R, C#, Azure cloud, SQL, Data Engineering, Scrum/Agile
Quant Developer
Nationale NederlandenQuant Developer
Mar. 2016 - May. 2016Netherlands, The Hague** Worked on the development and innovation of SCR (Solvency Capital Requirement) tools. ** Technologies used: C#, SQL, Data Engineering, Scrum/Agile
Advisor Predictive Analytics
ArcelorMittalAdvisor Predictive Analytics
Feb. 2015 - Feb. 2016Luxembourg, Luxembourg** Set up Machine Learning models from scratch + infrastructure. Then supervised a team of 3 people until they can do the work independently ** Technologies / Frameworks used: Python, R, SQL, Data Engineering, Scrum/Agile
Quant Developer
SNS BankQuant Developer
Aug. 2014 - Nov. 2014Netherlands, Utrecht** Developed ad-hoc tools for insurance products. ** Technologies used: MATLAB, C++, SAS, Prophet (Sungard), Value at Risk.
Quant Developer
AtradiusQuant Developer
Aug. 2014 - Jan. 2015Netherlands, Amsterdam** Developed with a team of 7 external consultants a complete Solvency Capital Requirement framework. ** Technologies / Frameworks used: R, SQL, Data Engineering, Scrum/Agile
ETRM Consultant
Bayerngas GmbHETRM Consultant
Mar. 2013 - Sep. 2013Germany, Munich** Implemented new ETRM system (Allegro 8) for Bayern Gas and migrated the old risk and trading system to the new system. ** Technologies used: C#, Gas storage, Flex contract, Gas & Electricity trading, Stochastic optimization
MD, Founder
CFORSA B.V.MD, Founder
Jan. 2013 - Dec. 2025Netherlands, RotterdamProvided Consulting services to banks, asset managers, blue chip companies in commodity trading (gas, power, lng, metals) as well as the logistic, horticulture, retail sector
Advisor
RadarRadarAdvisor
Jun. 2012 - Feb. 2013Netherlands, Rotterdam** Helped in building the start-up Commodity Services & Solutions B.V., now Tradesparent B.V. ** Core of activities: Commodity Trading Risk Management (CTRM), Dynamic Margin Management, Business Development
Lead Structurer
Shell TradingLead Structurer
Oct. 2008 - May. 2012United Kingdom, LondonWorked for the London-based trading arm of Shell that manages the European portfolio of Gas, Power, LNG and Emissions: Keywords: Energy Trading, Contract (Re-)Structuring, Quant Analyst/Developer, Energy Asset Optimization (gas storage, oil reservoirs, CHP, power plants ), Trade and Origination intermediary, managing junior structurers
Senior Quant Analyst
Delta EnergieSenior Quant Analyst
Mar. 2008 - Sep. 2008Netherlands, MiddelburgWorking for Delta Energy N.V., trading arm that manages the Gas, Power and Emission portfolio: Keywords: Energy Trading, Quant Analyst / Developer, Hedging Strategies, Energy Asset Optimization (gas storage, power plants, VPP)
Quant Analyst
IkB Deutsche IndustriebankQuant Analyst
Jul. 2006 - Feb. 2008Luxembourg, LuxembourgWorked for a German midcap bank in Luxembourg and collaborating with the trading, structuring and sales desks Keywords: Quant developer, C++, model development, Credit derivatives, Fixed income, Hybrids, Commodities and FX, OTC products, Quantitative services
Ris Manager
NN Investment PartnersRis Manager
Nov. 2004 - Nov. 2005Netherlands, The HagueAs a risk manager, I maintained daily contact with the trading desks and manage the risk of various portfolios Keywords: Risk management, Quantitative development, VAR reporting, stress testing, Fixed income, Credit derivatives, INGIM Volatility Fund, Credit risk models LGD/DED/PD, creditworthiness, default forecasting, High Yield market, Interest models (LMM, HJM), Collateral Management
Quant Developer
SAEN Options / AtomProQuant Developer
Oct. 2003 - Oct. 2004Netherlands, AmsterdamWorked forr an Amsterdam market maker as a Quant Developer and Consultant on developing a screen trading & Risk Management platform. Keywords: Quant development, C++, screen trading, Risk management, Market Making, Model development, Options trading
Scientific Researcher
BP ChemicalsScientific Researcher
Jan. 2003 - Sep. 2003France, ToulouseWorked for BP-Chemicals in France, Lavera and collaborated with l'Institut de Mécanique des Fluides Toulouse and EDF (Électricité De France) in developing simulation models for petrochemical reactors. Keywords: Multiphase flows, Computational Fluid Dynamics, Software/Model development, Polyolefin reactors, Supervision of PhD students
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