Data Engineer Machine Learning

INTERN DATA ENGINEER

PROJECTS:

FINTEK A.I (PROMETE AI)

A chatbot project designed for finance advisory and consulta- tion. capable of wealth and investment funds management. Roles & Responsibilities: Data Engineer (Data Collection, Migra- tion, Arrangement, ETL)

• Responsible for of data acquisition using various techniques

(APIs, Scraping, ...), ensuring a consistent, high-quality data feed for the A.I chatbot. Utilized SQLModel for data querying and management, migration with Alembic, handle with PyS- park you can try it: http://118.69.64.151:3000/ CONTACT INFORMATION:

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

Ho Chi Minh City

+84-93-924-****

jan 12, 1999

github.com/AnVuTrong

SME A.I (PROMETE AI

An A.I chatbot project designed for rapid training and deploy- ment across small and medium enterprises and businesses. Roles & Responsibilities: Dev and Data Team (Bug Fixes, Parser Development, Feature Enhancement, Data ETL)

You can try it at: http://118.69.64.151:3001/

TOOLSETS COMPATIBILITY:

• Language: Python

• SQL: PostgreSQL.

• NoSQL: MongoDB.

. Big data: Apache PySpark.

. Framework: FastAPI, Celery,

Flower

. Finance: ^FIX 4.2

. Kanban: Jetbrain Space

SKILLS AND SUPPLEMENTARY:

• Data Science

• Machine learning

• Finance

• Office works

• Design skills

• English (TOEIC 810)

• Academia’s soft skills

OBJECTIVE

Although my background is in

Finance, I am eager to pursue new

opportunities in the technology

sector, specifically in data-related

roles. I am confident that I can con-

tribute effectively as a Data Analyst

or Data Engineer at your firm.

SKILL SET:

• Analytics: Descriptive/Diagnostics Analysis.

• BI Tools: Power BI.

• Data Manipulation and Visualization with Python: Numpy, Pandas, Polars, Apache Spark, Matplotlib, Seaborn, Plotly.

• Database SQL and Data Collection for Data Science: MySQL, PostgreSQL, MongoDB, SQL Server.

• Web Scraping/Crawling/Harvesting: BeautifulSoup, Scrapy.

• Machine Learning (Supervised Learning): Logistic Regres- sion, Linear Regression, Naive Bayes, KNN, Decision Tree, Random Forest, SVM, AdaBoost, XGBoost.

• Machine Learning (Unsupervised Learning): K-Means Clus- tering, Hierarchical Clustering, Apriori, ECLAT, GMM, Time Series with ARIMA.

• Deep Learning (NLP): Seq2Seq, ANN, RNN, Attention, Trans- formers. (Some older methods: N-Gram, CBOW, TF-IDF, W2V) PERSONAL CAPSTONE PROJECT

A Light-weight site for me to show some of my early works Showcase: Data pipeline and some simple Models

• Link: https://capstone-project-vta.streamlit.app/

• My code: https://github.com/AnVuTrong/capstone_project EXPERIENCE:

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STOCK BROKER

SSI Securities Corporation:

2020-07 - 2022-08

https://www.ssi.com.vn/

• Actively engaged in managing and advising clients on financial decisions and investments, processing a broad array of business documentation and information.

• Achieved short and long-term targets, with a KPI of $1 million in accumulated trades per month. Leveraged Data Engineering skills to halve the total work time of the depart- ment for quarterly stock filtering and analysis by imple- menting new automatic procedures.

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DATA ENGINEER

Promete AI:

2022-08 - now

https://www.promete.ai/

• Data Engineer: Engaged in numerous projects, including Fintech, NguoiBanVang (a PNJ’s partner), HUTECH, SME, among others..

EDUCATION:

BACHELOR'S IN FINANCE AND BANKING

UEH - UNIVERSITY OF ECONOMICS HO CHI MINH CITY.

59C Nguyen Dinh Chieu, Ward 6, District 3, Ho Chi Minh City, 2016 - 2021

https://www.ueh.edu.vn/

• Study major in Stock Market.

REFERENCES:

Dr. Huân Nguyễn Hữu

Teaching Associate Professor at

the University of Economics Ho

Chi Minh City.

• Tel: (84-97-97-84-914

• Email: **********@***.***.**

• Relationship: Mentor

Mr. Trường Nguyễn Văn

My previous supevisor, branch

business director at SSI Securities

Corporation.

• Tel: (84-909*-*****

• Email: ********@***.***.**

• Relationship: Former Manager

BOTTOM LINE:

Thanks you for reading my

résumé!

Contact this candidate