Manh Ho Duc
Aspiring Quantitative Analyst & Financial Data Scientist

Email: hoducmanh222@gmail.com
Phone: 0849205955

Objective
Highly motivated and analytical Data Science student with a strong foundation in Mathematics and Economics, dedicated to pursuing a specialized career in Quantitative Finance. Short-term goal is to secure a position as a Quantitative Analyst or Financial Data Scientist. Long-term aspiration is to become a Quantitative Researcher or Lead Data Scientist.

Education
National Economics University (NEU)
Data Science in Econometrics & Business
GPA: 3.83/4

High School for Gifted Students - Vinh University

Technical Skills
Programming: Python (Advanced), C++, SQL, R
Machine Learning: Regression, Decision Trees, Random Forest, XGBoost, SVM, K-Means, DBSCAN
Deep Learning: CNNs, RNNs/LSTMs, Transformers
Reinforcement Learning: MDP, Q-Learning, SARSA, DQN
Frameworks: TensorFlow, PyTorch, Scikit-learn
Visualization: Matplotlib, Seaborn, Power BI
Infrastructure: Docker, Git/GitHub, Runpod, Vast.ai, Nebius AI Studio, Vercel

Selected Projects
Dynamic Spillover Effects Analysis: Applied MS-VAR with Bayesian MCMC and GFEVD models to analyze spillover effects between Gold prices, Oil prices, and the VNIndex.
Green Innovation & Financial Performance: Used OLS, Two-Way Fixed Effects, and GMM to study listed firms in Vietnam.
Stack Ensemble Weather Forecasting: Built Gradient Boosting and Random Forest forecasting with automated retraining triggers.
Video Action Classification: Fine-tuned VideoMAE with a ViT backbone to classify 108 human actions.