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KARL TRUONG

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PROFESSIONAL EXPERIENCE

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, NORWAY       06.2023 – Present

PhD Candidate in Statistics

Research: Statistical machine learning and signal processing for event detection in Distributed Acoustic Sensing.

• Product Deployment: Delivered 3 real-time detection Python repositories deployable on edge devices, specifically targeting rockfall identification, traffic monitoring, and fin whale tracking.

• Academic Output: Authored 3 journal articles and 2 conference papers (published/on-going).

• Honors: Awarded Distinguished Poster at CGF Workshop 2025 and selected for an AIP Scilight feature, recognizing top physical-science research (~2% of articles).

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TECHCOMBANK - GALAXY FINX, VIETNAM           04.2021 – 06.2023

Senior Data Scientist

Core member of the Advanced Analytics & Innovation team, focusing on Bancassurance and internal MLOps.

• Bancassurance Optimization: Improved business conversion rates by 40% by developing ML models (Logistic Regression, Gradient Boosting) to identify high-potential customers for insurance products.

• MLOps & Standardization: Built an internal EDA and ML coding framework used by a team of 30 data specialists, standardizing workflows using LightGBM, XGBoost, Scikit-learn, and Optuna.

• Feature Engineering: Generated 600+ features (demo, products, transactions) in PySpark for a feature store.

• Stakeholder Management: Communicated complex technical analyses and findings to C-level management.

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HEINEKEN, VIETNAM       07.2020 – 04.2021

Data Scientist

Collaborated with Sales and Trade departments to deliver ML solutions for revenue optimization.

• Targeting Strategy: Identified the top 16,000+ high-value business customers quarterly using Random Forest and Logistic Regression to optimize marketing campaigns.

• Risk Mitigation: Built an anomaly detection algorithm (KNN) to identify irregular contract values, assisting the Business Controller in mitigating $5M USD in potential cost risks.

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AIRBUS, FRANCE 09.2018 – 09.2019

Data Science Specialist – Apprenticeship

Applied unsupervised learning and geometry processing to optimize aircraft manufacturing lead times.

• Process Innovation: Developed three novel distance metrics to improve component analysis.

• Standardization: Defined 34 standard assembly processes using unsupervised learning techniques (DBSCAN, Hierarchical, and K-means clustering).

• Mathematical Modeling: Measured assembly time for 3,000+ aircraft components via underdetermined systems.

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VEOLIA - INRAE, FRANCE       04.2018 – 09.2018

Data Analyst Intern

Ensured input data quality for a national project predicting water consumption in France.

• Data Quality: Cleaned and imputed missing values in high-dimensional data for 30,000+ communes using R.

• Statistical Analysis: Performed goodness-of-fit tests and distribution analysis to validate model inputs.

EDUCATION

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, NORWAY     Expected 2026

PhD in Statistics

Statistical Machine Learning for Event Detection in Distributed Acoustic Sensing

TOULOUSE SCHOOL OF ECONOMICS, FRANCE         2017 – 2019

Master of Statistics and Econometrics

GPA: 15.5 / 20 (High Honors)

VIETNAM NATIONAL UNIVERSITY, VIETNAM         2012 – 2017

Bachelor of Finance and Banking

GPA: 83.7 / 100 (High Honors)

CORVINUS UNIVERSITY OF BUDAPEST, HUNGARY         2015 – 2016

Erasmus Exchange Program

GPA: 4.77 / 5 (Highest Honors)

• Languages: English (Fluent), Norwegian (A2 - currently learning), Vietnamese (Native). 

• Programming: Python (NumPy, Pandas, Scikit-learn, LightGBM, XGBoost, Optuna, PyTorch), R, SQL, PySpark.

• Machine Learning: Gradient Boosting, Random Forest, Linear & Logistic Regression, SVM, KNN, Clustering (DBSCAN, k-Means), Hyperparameter Optimization.

• Data Engineering: Feature Engineering, Data Quality, Pipeline Development.

• Football (Goalkeeper), Badminton

• Gomoku, Sudoku, and Logic Puzzles