Machine Learning Computer Vision

Thuy Pham

****.*********@*****.*** 076******* Github Thuy Pham Linkedin Thuy Pham

Passionate Machine Learning and AI enthusiast with hands-on experience in computer vision, deep learning, and full-stack development. Seeking to expand skills in ML and DL SKILLS

● Languages: Python, R

● ML/DL Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn

● Computer Vision: YOLO, OpenCV

● Data Analysis: Pandas, NumPy, Matplotlib

● Other: SQL, Git

EDUCATION

Information Engineering and Computer Science, MSc. 09.2023 – present

University of Applied Science Rhine-Waal

Germany

● Relevant courses: Data mining, Machine Learning, Data Analysis and Information Engineering Mobility & Logistics, BSc.

09.2019 – 12.2022

University of Applied Science Rhine-Waal

Germany

● Relevant courses: Fundamentals in Computer Science and Networks, Object Oriented Programming Software engineer (Exchanged semesters)

02.2020 – 02.2021

ISEP Paris

France

● Coursework: Advanced Algorithms and programming, Artificial Intelligence, and Computer Microsystems RELEVANT PROJECTS

Multimodal Trans horse lameness

● Developed a multimodal deep learning model using PyTorch

● Integrated video analysis with keypoint extraction using YOLOv8

● Built a custom conv3D network for feature extraction and a transformer-based architecture Skeleton and Pose Estimation

● Implemented YOLO v8 for skeleton and pose estimation

● Employed Roboflow for annotation

DCNN for Trash Classification

● Developed data pipeline and tuned hyperparameters using TensorFlow and Keras

● Utilized Pandas, Matplotlib, and NumPy for data preprocessing and visualization Scikit-learn Decision Tree for Classification

● Conducted analysis of various ML algorithms

● Emphasized data preprocessing and deployed Decision Tree using Scikit-learn DNN to classify FMCG-SKUs

● Built a data pipeline and handled imbalanced dataset

● Deployed a DNN model with ~95% accuracy using TensorFlow and Keras RESEARCH EXPERIENCE

Conducted literature reviews on:

● Reinforcement Learning and Deep Reinforcement Learning

● Zero-shot, One-shot multimodal co-learning

● Zero Trust security model in Healthcare system

WORK EXPERIENCE

Full stack developer

07. 2024 - present

University of Applied Science Rhine-Waal

● Developing interactive game features for a web app using Node Js, Express Js, Firebase

● Conducting research and analyzing findings to identify key trends and opportunities Business Analyst/ Researcher

01.2024 - present

Pisacane Information Service GmbH

● Managing extensive secondary research utilizing online databases such as Orbis, Factiva, and Eikon

● Analyze research results to uncover key trends, market opportunities, and potential risks LANGUAGES

Vietnamese (first language), English (C2), French (B2), German (B1) HONORS AND AWARDS

Deutschlandstipendium, University of Applied Science Rhine-Waal, 2018 – 2022

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