Dieu Hang TRAN

AI/Data Scientist (Internship) @ Addactis

Flemish Brabant, Belgium

AI Engineer & Data Scientist with practical experience building LLM-, RAG-, and agent-style prototypes and translating them into usable tools for stakeholders. Skilled in Python, data engineering workflows, and modern ML tooling, with a strong foundation in quantitative modeling and scientific computation (PhD in Computational Chemistry). Experienced in designing end-to-end ML pipelines, integrating LLMs into real workflows, and collaborating with cross-functional teams to turn ambiguous requirements into working solutions. A fast learner who enjoys solving complex problems and taking responsibility for outcomes. Eager to grow further in agentic LLM systems, deployment practices, and Azure-based AI engineering, while contributing reusable components and high-impact solutions.

Top roles

Data Analyst> 10 years

AI Specialist< 2 years

Back-end

SQL

Python

Cloud

Azure

ETL Datawarehouse

DataStage

Miscellaneous

Machine Learning

Business Intelligence

Power BI

Language

Fluent English

English

Fluent

Dutch

Good

Work experience

Since 2013

AI/Data Scientist (Internship) @ Addactis

01 October 2025 -

Designing and building a Retrieval-Augmented Generation (RAG) and LLM analytics system for internal knowledge retrieval, enabling faster decision-making for the Go-to-Market team.

Independent Researcher @ VUB

01 November 2023 -

Investigating membrane SLC7 transporter protein dynamics using advanced MD simulations.

AI/Data Science bootcamp @ becode

01 January 2025 - 01 October 2025

Built classification and regression models for several real-world datasets, focusing on feature engineering, model training, and evaluation.

Postdoctoral Fellow (FWO) @ VUB

01 November 2019 - 01 November 2023

Applied data-driven modeling and clustering for protein structure prediction and drug screening.

Postdoctoral Researcher (PMD) @ University of Leuven

01 January 2019 - 01 October 2019

Investigated atmospheric reactions of Iodine-containing compounds using quantum chemistry.

Doctoral Researcher @ University of Leuven

01 October 2013 - 01 December 2018

Explored electronic structures and physical properties of silicon-based clusters using quantum methods.

Education experience

Since 2006

Chemistry (Computational Chemistry) @ University of Leuven

01 October 2013 - 31 December 2018

PhD in Chemistry with a focus on Computational Chemistry.

Chemistry @ Vietnam National University

01 January 2010 - 31 December 2012

M.Sc in Chemistry with First Class Honors.

Chemistry @ Quy Nhon University

01 January 2006 - 31 December 2010

B.Sc in Chemistry with First Class Honors.