Data Analyst Ho Chi

Huynh Ngoc Nhiem

LinkedIn 058******* **********@*****.***

EDUCATION

Western Sydney University (Vietnam campus) Ho Chi Minh City, Vietnam Bachelor of International Business, Business Administration Sep 2021 - June 2024

● Award: 30% scholarship for freshman

MindX

Data Analyst Ho Chi Minh City, Vietnam

April 2023 – Feb 2024

NesTech

Data Analyst Ho Chi Minh City, Vietnam

Nov 2023 – May 2024

CERTIFICATE

2023

Hackerrank SQL (all rank) certi

Data Analyst ( MindX Technology and Startup School) April 2023 - Feb 2024 PROJECT EXPERIENCE

Sales Analysis Ho Chi Minh City, Vietnam

April 2023

Goal: The objective is to analyze the sales and find out which month had the highest sales, when to push adsvertises to maximize the sales, and which product should sold together. Role details:

● Utilized Python to clean the data, including handling NULL values, performing group by operations, and conducting feature engineering.

● Implemented Matplotlib library to visualize, used ‘group by’ function

● Conducted in-depth analysis of trends, deviations, performance, and detailed information

● Portfolio: Sales Analysis

Customer Churn Analysis with Classification Models Ho Chi Minh City, Vietnam July 2023

Goal: Explain key factors that lead to customer churn, build a model to predict with accuracy above 8.0, and give meaningful solutions.

Role details:

● Used Python to process, removed outliers, fixed bias target, and performed features engineering

● Found out the best parameter for each model and made model performance evaluation

● Applied features are important in determining the top affluent factor to customer churn status

● Portfolio: Customer Churn Analysis with Classification Models Heart Attack Prediction with Classification Models Ho Chi Minh City, Vietnam March 2024

Goal: The goal is to identify and explain the key factors that contribute to heart attacks, develop a predictive model with an accuracy above 80%, and provide potential solutions. Role details:

● Utilized Python for data processing, including outlier removal, bias target correction, and feature engineering.

● Determined the optimal parameters for each model and evaluated its performance.

● Identified and prioritized the most influential features that contribute to heart attack status.

● Portfolio: Heart Attack Prediction with Classification Models SKILLS

● Visualization (Excel, PowerBI)

● Data cleaning ( DB tools: MS SQL Server, MySQL)

● Machine learning models (classification, decision tree, random forest, KNN, SVC)

● Descriptive analysis

● Predictive analysis

● Programming languages: SQL (basic to Trigger, Function, and Transaction), Python (Pandas, Numpy, Sci-kit learn, Seaborn, Matplotlib)

● IDE: Google Colab, Jupyter Notebooks, Visual Studio Code

● Source Control: Git

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