SKILLS

Python C/C++

R Java

Tableau Power BI

VBA Microsoft

Office

SQL TensorFlow

Keras Pytorch

Scikit-learn NLP

Sentiment

Analysis

Cloud

Computing

Platform

Hadoop Spark

ETL Machine

Learning

Deep Learning Optimization

for quantitative

methods

Finance English

Research Interpersonal

skills

Teamwork

LANGUAGES

English Vietnamese

Career development orientation in the field of: Data Analytics, Data Science, Business Intelligence,

Artificial Intelligence, MLOps.

Short-term: Desire to become a professional Data Analyst, Data Scientist, concentrating on operating tools, database systems, data architecture, MLOps end-to-end platforms and have the chance to work in a more dynamic and professional environment for better self development. Long-term: Become a manager/team lead of the data team within the next years, enrich knowledge & problem-solving skills to orient myself to become a Data Scientist, contribute my talent to the development of the company, and get to earn valuable experience in significant projects in the future.

High distinction BSc/BA in Computer Science with skills in analyzing, visualizing data, using descriptive, predictive, prescriptive methods in Statistics & Data Science, Artificial Intelligence, Machine Learning, Optimization, having passion for getting insights about big data, ways to transform business domain into data science problem. WORK EXPERIENCE

Maritime Bank Vietnam

Building, implementing, administering, reviewing and upgrading credit risk measurement models, tools and systems Retail, Corporate and Financial Institutions

Coordinate user requirements (URD) building, test case building, system testing (UAT) execution, tool/system manual development/tuning

Run unsupervised machine learning models with updated data taken from databases server and find reasons leading to mismatched results between manual running team and automatic running team Completed technical tasks, which are relevant to rule setting using VBA, early warning system, credit risk models

Worked as tester Credit Scoring System app, Internal Rating System case by case (CSS), Batch Customer Screening and Analysis System

(CAS), Data Warehousing Administrator, Data Solution Provider International School, Vietnam National

University, Hanoi

Faculty of Applied Sciences, Computer Science field Having researched about Machine Learning models, web scraping on Shopee platform with a view to publishing International Conference on Intelligent Systems & Networks (ICISN2023), 2nd Vietnam Symposium in Entrepreneurship, Finance, and Innovation (VSEFI2023), submitted THE 11th INTERNATIONAL CONFERENCE ON EMERGING CHALLENGES: SMART BUSINESS AND DIGITAL ECONOMY conference

(ICECH2023) with title named "Improving Sales Forecasting Models by Integrating Customers' Feedbacks: A Case Study of Fashion Products" Build automation tool written by Nodejs to crawl real time data consisting of customers' comments, daily quantity sales, fundamental information of items and sellers

Having knowledge about sentiment analysis, artificial intelligence models, deep learning models, time series data, ensemble learning methods (BERT, PhoBERT, CNN, LSTM, ARIMA)

Build Machine Learning models for sentiment analysis, sales forecasting

E-commerce Analytics

Use of Python language to construct complete technology systems based on automation, ML/AI, and data science

Implement algorithms, machine learning, and deep learning technologies successfully, do research, design, install, and optimization

Research instruments, solutions, techniques to create machine learning models, deep learning on a huge data size with pyspark, tensorflow/pytorch suggesting system, integrating to improve the app's/web's efficiency...

Build input data streams for various application systems, ML/AI systems, using data mining technologies

Business problem analysis, exploratory data analysis (EDA), data modeling to find out movement trends, patterns, nature of phenomena, user behavior, etc. The application of data mining to business activities creates value

Advise business units, BA/DA teams on the direction of deploying machine learning and deep learning applications into business operations.

International School - Vietnam National

University

Faculty of Applied Sciences, Machine Learning field Being a team leader, contacting with supervisors, coordinating with professors to look for supports.

First prize video, clips for scientific research process Data mining of available data utilizing descriptive methods, predictive modeling and time series analysis to provide market research forecasting for Recommendation Search engine

Execute advanced analytics / machine learning techniques consisting of regression, k means clustering, KNN, decision tree, random forest classifier models, Hierarchical clustering- Apriori (Association Rule Mining)- PCA, SVD algorithm on data sets downloaded from Kaggle website

Use of Python language to apply machine learning models EDUCATION

International School - Vietnam National University (Ha Noi) The chosen direction of expertise: Developing analytical models Analyze data and model problems based on statistical and optimization mathematical tools

Evaluate decision support data by using informatics tools in general and computer science in particular

Identify core issues in business and economics

Develop additional content for business data analysis such as research methodologies, team building, etc.

PROJECTS

Using Decision Support System (DSS) in CitiBank Loan Approval Prediction

Applied machine learning methods for classification problem to complete final project

Having overview of using decision support system tools to support enterprises make decisions

Designing and Building a Data Mining Project with Cube and OLAP Building a Business Analytic Data Mining Model using Microsoft BI Data Mining Tool, Data Warehouse, and OLAP Cubes

Leaded team members in methods, ways, tasks division to successfully complete final project

Census Income Prediction using Gaussian Naive Bayes and models in Machine Learning

Applied machine learning methods and artificial intelligence' algorithms to complete final project about classification and regression problems

Having knowledge and overview of artificial intelligence field from

"Low-level intelligence" to "High-level intelligence", as well as Machine Learning States such as Search problems, Markov decision processes, Adversarial games and Machine Learning Variables known as Constraint satisfaction problems, Markov networks, Bayesian networks Leaded team members in methods, ways, tasks division to successfully complete regular projects

STRENGTHS

Life-long Learner Results / Detail Oriented

Engaging Personality Unique Talent

COMPUTER SCIENCE EXPERTISE

Have knowledge about UI and UX

skills, with experience building

web for displaying interactive

visual insights

Experience with data visualization

& analytics tools: Tableau, Power

BI, KNIME Analytics Platform

Experience in building B.I.

interfaces, dashboards, and/or

analytics products

Knowledge of CI/CD pipelines and

experience with version control

systems like Git

Experience with Data Warehousing Knowledge of Logi Analytics development tools

Have basic knowledge of data

science, have an object-oriented

and database-oriented mindset

Knowledge of machine learning

models, simple/multiple linear

regression models, ensemble

(random forest, reinforcement

tree), SOTA in NLP (BERT,

PhoBERT), kmeans, SVM, PCA...

Knowledge of deep learning,

artificial neural networks, types of

networks MLP, CNN, LSTM, RNN...

Knowledge of defining statistical

systems, quantitative methods,

programming, data structures &

algorithms, graph theory,

databases, statistical models for

data analytics

OTHER SKILLS

Having experience work on data

analysis and come up with

effective business strategies

Having capacity to use Python,

SQL language to process data

Having capacity to manage

multiple tasks at once and adapt

to changing requirements

Having experience working with

many departments within the

company

Having capacity to learn new

knowledge

Having capacity to work with large

and complex amounts of data, to

solve problems and think logically

Having capacity to work

independently, positive attitude at

work and good team coordination

Proficiency Native

Collaborator/ Data Solution Provider/ Data Scientist in Modelling & Risk Datamart Center (Risk Management

Division)

(October 16,

2022 - July 07,

2023)

Data Science Researcher

(September 01, 2022 - July 04,

2023)

Student Scientific Research Team Leader

(September 01, 2021 - June 01,

2022)

High Distinction Bachelor Degree of Science, Business Data Analytics

- Faculty of Applied Sciences

3.62/

4.0

Decision Support Systems course for advanced

knowledge

(July 01, 2022 - August

31, 2022)

Artifical Intelligence course for advanced knowledge

(July 01, 2022 -

August 31, 2022)

Never done learning and always

seeking to improve myself. Curious

about new possibilities and taking

action to explore them

Dedicated to completion of tasks in

a timely manner and with regard to

quality. Demonstrating a

willingness to learn new knowledge

Engaging communicator, can be

persuasive, but always listen

carefully. Being an effective leader

under pressure in teamwork,

public speaking, strong desire to

learn and improve weaknesses

MOS Specialist in Word, Excel.

Good IELTS, SAT international

examine candidate. Being the

runnerup of Coe College' Global

Leadership Scholarship and top

200 universities in the USA applied

for Business Analytics major in

2020

Contact this candidate