GHAZWAN NAMOU JABLAK
Richmond Upon Thames
Summary
With more than 15 years of experience in the domain of data science, data analysis and signal processing, I bring a proven knowledge of complex problem solving, machine learning, and strategic data analytics. Standout achievements include developing a package to detect anomalies in crop fields using satellite images and remote sensing data.
Overview
16
16
years of professional experience
Work History
Data & Analytics Lead
Syngenta
Bracknell
09.2025 - Current
- Leading Portfolio Sustainability Framework (PSF) for Syngenta Crop Protection and Seeds, enabling consistent sustainability rating of the product portfolio based on customer benefits and alignment with internal and external stakeholder expectations.
- Architect and deliver end-to-end data integration and sustainable data pipelines using Python, SQL, Databricks, and AWS, improving data quality, traceability, and availability for PSF scoring and reporting.
- Develop and maintain PSF simulation tools for existing and future formulations, allowing users to run scenario analyses and generate PSF ratings for any Crop Protection formulation.
- Build analytics and dashboards in Qlik to provide transparent, decision-ready insights for portfolio governance, product teams, and leadership.
- Partner with cross-functional stakeholders (sustainability, R&D, product/portfolio, regulatory, and data teams) to translate sustainability requirements into scalable data products and analytics solutions.
Senior Data Scientist
Syngenta
Bracknell
01.2018 - 09.2025
- Developed and implemented machine learning models to help the company's operations.
- Built a text-to-SQL AI agent using LLM.
- Developed a machine learning model to predict in-season Corn yield in US fields with less than 10% error.
- Built a package to detect field anomalies using satellite images.
- Contributed to introducing DVC and SageMaker pipelines to the data science.
- Participated in tuning LLM models with company data to create the first internal Chatting engine.
- Built a multivariate time series model to predict product sales in different districts using complex, large-scale, high-dimensional, and heterogeneous data sets.
Data Scientist
Pairview
London
01.2017 - 12.2018
- Carried out data science projects to help clients derive actionable insights.
- Provided in-depth analytical support to internal and external stakeholders, including requirement gathering, defining data landscape.
- Engaged with functional teams to understand key challenges, data, processes, and products, identify opportunities for analytics to drive value, and build data-driven solutions that inform decision-making.
- Manipulated and analyzed complex, large-scale, high-dimensional, and heterogeneous data sets and applied analytics including classification and Random Forest to predict the likelihood of customer churn using Python.
- Developed and enhanced datasets to support the development of analytical insight delivery and KPI dashboards that provide visibility of key trends and patterns in sales performance.
- Provided actionable insights to support clients in improving outcomes in the next campaign using SQL and machine learning techniques.
Quantitative Interpretation Geoscientist
Petroleum Geo-Service
Weybridge
01.2011 - 12.2016
- Built models to identify oil and gas accumulations. Integrated large amounts of complex data for oil and gas exploration.
- Applied inverse problem and deconvolution theories to seismic data to create inversion volumes.
- Involved in developing ETL processes for new data sources.
- Visualized and explored multivariate data.
- Predicted missing data by applying linear, non-linear regression, interpolation, and extrapolation methods.
- Applied predictive modeling algorithms including Bayes' theorem and neural networks to predict oil and gas accumulations.
- Analyzed and processed complex data sets using advanced statistical tools.
- Used rock physics analysis based on statistical and analytical approaches (stochastic forward modeling).
Education
MSc - Geophysics
King Fahd University of Petroleum & Minerals
2008
BSc - Geophysics
Damascus University
2002
Skills
- Python
- MATLAB
- R
- DVC
- AWS
- SQL
- Git
- Langchain
- CrewAI
- Qlik
- Databricks
Accomplishments
- Complex problem solving: participated in tuning LLM using company's internal data.
- Machine learning: built and deployed many successful machine learning projects.
- Leadership: successfully led a project to design an ETL pipeline to extract process field data.
Timeline
Data & Analytics Lead
Syngenta
09.2025 - Current
Senior Data Scientist
Syngenta
01.2018 - 09.2025
Data Scientist
Pairview
01.2017 - 12.2018
Quantitative Interpretation Geoscientist
Petroleum Geo-Service
01.2011 - 12.2016
MSc - Geophysics
King Fahd University of Petroleum & Minerals
BSc - Geophysics
Damascus University