Ziad Nawar, MSc
Data Scientist
Passionate and collaborative computer science professional with expertise in software development, machine learning, and statistical methods. Able to lead a diverse team and deliver successful projects with demonstrated experience. Possesses research skills and a strong foundation in AI/ML, and software development, eager to contribute to innovative projects and further develop leadership abilities.
About Me
I'm a Data Scientist with a Master's degree in Artificial Intelligence from TU Delft. My expertise spans across machine learning, natural language processing, computer vision, and full-stack development. I'm passionate about leveraging AI and data science to solve complex problems and create innovative solutions.
Currently working at Datacation, I focus on developing AI solutions and data science applications. Previously, I've worked with companies like Artefact and Grant Thornton, where I've led projects involving causality analysis, time-series forecasting, and full-stack development using modern technologies.
Experience
Amsterdam Zuid, Netherlands · Hybrid
Sep 2024 - Present · 1 year 3 months
Datacation is a AI and data science consultancy company, currently in the startup phase.
Utrecht, Netherlands · Hybrid
Sep 2023 - Sep 2024 · 1 year
Artefact is a consultancy company specialised in AI and digital marketing.
- •Collaborated within a team to analyze marketing performance for a multi-billion-dollar retail client in the US market, leveraging causality analysis and time-series forecasting techniques.
- •Led the end-to-end development and deployment of a Bayesian-based ranking model for a popular e-sports game, including research, planning, implementation, and delivery.
- •Mentored an intern over a 5-week period, providing technical guidance and ensuring timely completion of an internal solution aligned with project goals and deliverables.
Gouda, South Holland, Netherlands · Hybrid
Nov 2020 - Sep 2023 · 2 years 10 months
Grant Thornton is a global audit, tax, and advisory firm.
- •Collaborated with non-technical colleagues, translating business challenges into actionable technical solutions.
- •Delivered multiple successful full-stack projects using Outsystems, including the Tax Reporting System.
- •Designed and implemented a customized surveying system, enhancing workflows.
- •Developed systems for financial document parsing and invoice generation automation.
Netherlands · Remote
May 2020 - July 2020 · 2 months
ScenWise is a software development company works in the mobility sector.
- •Contributed to a traffic data analysis web application back-end using Java, REST API, Spring framework, and database technologies.
Projects
Research
This paper investigates prompt engineering techniques for improving legal case retrieval systems using large language models.
View PaperResearch on applying large language models to enhance the accuracy and efficiency of legal case retrieval systems.
View Paper