KARL TRUONG

PROFESSIONAL EXPERIENCE

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, NORWAY       06.2023 – Present

PhD Candidate

Be part of Advanced Analytics and Innovation team of the bank:

• Manage bancassurance project: performed statistical analyses and ML models to identify the  most potential customers to offer insurance products (techniques: Logistics Regression, Gradient Boosting, Optuna); improving 40% of business conversion rate

• Build internal EDA and ML coding framework for the whole 30-data-specilist team on top of LightGBM, XGBoost, Scikit-learn, Optuna and Shap

TECHCOMBANK - GALAXY FINX DIGITAL, VIETNAM     04.2021 – 06.2023

Senior Data Scientist

Be part of Advanced Analytics and Innovation team of the bank:

• Manage bancassurance project: performed statistical analyses and ML models to identify the  most potential customers to offer insurance products (techniques: Logistics Regression, Gradient Boosting, Optuna); improving 40% of business conversion rate

• Build internal EDA and ML coding framework for the whole 30-data-specilist team on top of LightGBM, XGBoost, Scikit-learn, Optuna and Shap

• Generate +600 features by PySpark for the Feature Store including demographics, products, transactions

• Communicate the analyses and findings to tech and non-tech high level management

HEINEKEN, VIETNAM     07.2020 – 04.2021

Data Scientist

Provide machine learning solutions for Sales, Trade and Brand departments:

• Identified the most +16,000 profitable business customers every quarter to run marketing campaign by random forest and logistics regression

• Assisted Business Controller to reduce potential +5M USD of cost by building an anomaly detection algorithm (k-nearest neighbors) to spot doubtful contract values

AIRBUS, FRANCE 09.2018 – 09.2019

Data Science Specialist – Apprenticeship

Used ML to standardize and shorten the aircraft manufacturing lead time:

• Contributed to research gap by developing three novel distance metrics on top of Euclidean distance

• Proposed 34 standard processes by unsupervised learning: DBSCAN, hierarchical and K-means clustering

• Measured assembly time of +3,000 aircraft components by solving underdetermined system of equation

VEOLIA - IRSTEA, FRANCE       04.2018 – 09.2018

Data Analyst Intern

Ensured input data quality in a project predicting water consumption in France:

• Imputed missing value in high dimensional data of +30,000 communes by R

• Performed statistical analysis: goodness of fit tests, mean t-test, quantiles, histogram, density plot, etc.

EDUCATION

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, NORWAY       06.2023 – Present

PhD in Statistics

Statistical Machine Learning to Detect Events of Interest in Distributed Acoustics Sensing

TOULOUSE SCHOOL OF ECONOMICS, FRANCE       08.2017 – 09.2019

Master of Statistics and Econometrics

Cumulative GPA: 15.5 / 20 (High Honors)

VIETNAM NATIONAL UNIVERSITY, VIETNAM       09.2012 – 05.2017

Bachelor of Finance and Banking

Cumulative GPA: 83.7 / 100 (High Honors)

CORVINUS UNIVERSITY OF BUDAPEST, HUNGARY        09.2015 – 06.2016

Erasmus Exchange Program

Cumulative GPA: 4.77 / 5 (Highest Honors)

TECHNICAL SKILLS

Programming skills

• Python: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, LightGBM, XGBoost, Optuna, Shap

• R: dplyr, tidyr, caret, mlr3, tseries, ggplot2, Shiny, ggmap

• Spark

• SQL

Data skills

• Machine learning:

- Supervised learning: gradient boosting, random forest, decision tree, logistics regression, linear regression, SVM, K-nearest neighbors

- Unsupervised learning: DBSCAN, Hierarchal clustering, K-means clustering

- General: hyperparameter optimization, probability calibration, model evaluation, explainable ML

• Feature engineering: imputation, handling outliner, categorical encoding, scaling, aggregating