Computer Science Data Analysis

DAO PHAM

LinkedIn GitHub

Tran Binh Trong street, District 5, HCMC, Vietnam

+84-333-****** *************@*****.***

SUMMARY

I am a technology enthusiast with training in mathematics and computer science. Throughout my academic journey, I have acquired a foundation in statistical data analysis techniques and AI methodologies. Since 2022, I have been pursuing a path to becoming an AI product developer and creating innovative solutions using AI technologies. I have 2 years of experience working in the fields of computer vision and data analysis. My passion lies in continuous learning and staying at the forefront of the AI field, as well as in data science and data analysis.

EDUCATION

VNU-HCM University of Science AUG 2016 – AUG 2021

Bachelor of Mathematics and Computer Science

● GPA: 3.3 / 4.0

VNU-HCM University of Science NOV 2023 - Present

Master of Computer Science

WORK EXPERIENCE

Research Intern AUG 2020 – AUG 2021

AISIA Laboratory HCMUS

● Acquire proficiency in computer science and develop a range of technical skills.

● Project: Credit Scoring - Classifying an applicant as considered a good or bad credit risk. Actuary Intern JAN 2022 – MAR 2022

Chubb Life Vietnam

● Re-calculate bare basic quotation when customers modified their insurance contract.

● Reconcile and analyze actuarial inputs and outputs (Interest, Target Premium, etc.)

● Collaborate with key leaders to identify and address information needs. AI Product Developer OCT 2022 – MAY 2024

Annotab AI

● Develop an image annotation tool (automatically label images by promptable segmentation with text, point, and box) that leverages AI technologies.

● Develop a custom stratified sampling method to split image dataset with multi-class annotations, ensuring each subset maintains class proportions consistent with the original dataset.

● Test and quality assurance processes to ensure that the AI product performs as intended.

● Research and Innovation: Research and experiment with novel solutions, and optimize algorithms to create cutting-edge solution.

● Collaborate with software engineers and DevOps teams to deploy models.

● AI content writer: Write articles about the AI concepts and technical documentations.

(https://annotab.com/blog)

Data Science Freelancer APR 2021 – SEP 2022

Freelance

Utilize analytical, statistical methods, and programming skills to implement data analyse and figure out insight from data.

Build machine learning models to generate key insight, make predictions, and serve other purposes.

Projects:

● The impact of the Covid-19 pandemic of the global stock market index

Clean data and apply a novel clustering method to group similar indicators and identify the most important ones influencing stock prices.

Analyse the effects of the Covid-19 pandemic on global stock market indices. Identify and compare the timing of pandemic impacts across various countries, with a focus on forecasting trends.

+ Programming languages: Python

+ Statistical package: eViews

+ Algorithm: VAR, Panel VAR, Granger causality test

● The relationship between personality traits, personality values, authentic leadership and engagement of the employee

Research the relationship between personality traits, personality values, authentic leadership, and employee engagement. Explore how these elements interact and impact job satisfaction as well as employee engagement.

+ Statistical package: SPSS, AMOS, SmartPLS

+ Algorithm: Structural Equation Modeling (SEM)

ADDITIONAL PROJECTS

• Address extraction from signboards using text-image model and PaddleOCR Use text-image model and PaddleOCR for text extraction.

• Object detection on Visdrone2019 dataset

Build object detection with 3 models: 2-stage based model (Faster R-CNN), 1-stage based model (YOLOv5), and transformer based model (Detectron2).

Apply image processing techniques to accurately some low quality images.

Apply Slicing Aided Hyper Inference (SAHI) method for improving the detection accuracy of small objects.

• Implement mean Average Precision (mAP) from scratch This is the implementation use numpy, pandas and geometric package for calculating mAP in my blog.

TECHNICAL SKILLS

• Programming: Python, C++

• Frameworks and Libraries: Pytorch, Tensorflow, OpenCV, Scikit Learn, Pandas, Numpy

• Mathematical Foundations: Statistics, Linear Algebra

• Machine Learning: Linear Regression, Logistic Regression, Naïve Bayes, K-means, Decision Tree, Genetic Algorithm

• Deep Learning: CNN, RNN, Transformer

• Data Analysis Tools: SPSS, SmartPLS

CERTIFICATION

Data Science Track - HCM Developer Circles Vietnam Innovation Challenge - Organizers: Facebook & Coder School (SEP 2019)

REFEREES

Assoc. Prof. Vo Thi Quy

*****@*****.***.**

Faculty of Finance and Banking. VNU-HCM International University

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