Data Analyst Science

Tran Quoc

Thang

Data Analystist

THÔNG TIN CÁ NHÂN

**/**/****

079*******

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

https://www.facebook.com/tha

ng.buihong.773/

** ***** *** ****, *** Hanh,

Tan Phu District, Ho Chi Minh

City

CAREER OBJECTIVE

I am seeking a Data Analyst

internship where I can apply my

academic knowledge in real-world

scenarios, develop skills in data

manipulation and analysis using

tools like Python, SQL, and Excel. I

aim to learn from industry

Learning Process

NGUYEN TAT THANH UNIVERSITY 2021 - 2024

Information technology

With a major in Data Science, i received a scholarship for the 2023-2024 academic year. Research many projects during the learning process. Learn English well and other soft skills. Actively participate in school activities. Work Experience

ISUSHI 24/10/2022 - 03/09/2023

Waiter

actively working hard, diligently learning and working hard at work PHUC LONG COFFEE & TEA 09/10/2021 - 25/12/2022

bartender

Ingenuity, agility and quick learning

PROJECT

Diabetes Prediction with PySpark Jul 2024 - Sep 2024 member: 1

Description:

- Predictive methods based on data analysis can provide valuable information about disease risk, thereby helping medical professionals and patients to take timely interventions to prevent or reduce the progression of the disease.

- Adopting a data science approach involves the following steps: The first is data collection and preprocessing, which includes the cleaning, normalization, and processing of missing data. Next, we perform data discovery analysis (EDA) to better understand the characteristics and relationships in the data through visualization and statistical techniques. Then, build and train machine learning models using PySpark, including algorithms such as logistic regression, decision trees, and random forests, and apply model evaluation techniques to compare performance.

Used Technologies:

Spark,Colab, Python, GoogleDrive, Cmd

References:

CERTIFICATE

2024-2026

Job mastery skills, office skills

y

professionals, gain a solid

understanding of the data analysis

process from data collection to

reporting, and contribute to the

company’s data-driven projects.

2024-2026

TOEIC (550)

SKILL

Communicate Skill, Presention Skill

I can confidently speak in front of a crowd of anticounters,Speaking fluently. Technical Skills

Data Analysis Tools: Python, R,

Visualization Tools:Power BI, Matplotlib, Seaborn

Machine Learning: Linear Regression, Random Forest, Gradient Boosting, K- Means Clustering

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