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Problem sloving,Comunication skill,Presentation skill,Logical thinking

Location:
Ho Chi Minh City, Vietnam
Posted:
April 21, 2025

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Resume:

EDUCATION

BACHELOR'S DEGREES:

-*ST: TON DUC THANG UNIVERSITY - ARCHITECTURE

GPA: 7.26 / 10

-2ND: UNIVERSITY OF ECONOMICS HCM CITY - FINANCE

GPA:

**** - ****

**** - *******

SUMMARY

I am a recent graduate seeking a

Business-Financial Data field position

with a solid academic foundation, I

am dedicated to approach a

challenges with professionalism, a

strong desire to learn and a

commitment to contribute effectively

to your team. I am sincerely eager to

further enhance my skills, embrace

new opportunities for learning, and

grow professionally in the bus data

industry and business .

1) CUSTOMER BEHAVIOR TRENDS IN CLOTHING PURCHASES

TASK: ( Python, SQL, Power BI )

+Task Allocation, Data Synthesis, Progress Monitoring, Reporting Accuracy, Presentations

FINDS :

+Customer purchasing trends

+Top-sales items (Shirts, Pants, Blouses, Dresses, and Accessories) dominate sales across seasons

RESULTS :

+ Launch various product models following trends at the end of the year, enhance advertising and marketing campaigns throughout the year, maintain consistently high- selling products, and focus more on female customers 2) ANALYSIS OF OFFICE EQUIPMENT BUSINESS ACTIVITIES & SALES PLAN TASK: ( Python, SQL, Power BI )

+Problem Evaluation, Providing Insights, EDA Support, Chart Drawing, Presentations FINDS :

+Customer Segmentation: Utilized the RFM model to classify customers based on demographics and behavior for targeted marketing (Potential Loyalist, Needs Attention, About To Sleep, and Hibernating)

+Seasonal Sales Strategy: Developed strategies for promoting key products, focusing on strong sales from September to December and adjusting for weaker sales from January to April.

+Category Focus: Prioritized Office Supplies and Technology due to higher revenue and profit margins, and shifted focus to Furniture in the middle of the year. RESULT :

+ Improved marketing efficiency and sales performance by aligning strategies with customer behavior and seasonal trends. Enhanced targeting through customer segmentation, leading to optimized resource allocation and increased revenue. 3) USE A MODEL TO FORECAST FINANCIAL INDEX ( VNI ) BY LSTM ( AI ) TASK ( Python )

+ Find an appropriate model, Choose prediction parameters, Prepare data files and Clean data, Train and predict with an LSTM model.. RESULT :

+ A model accurately predicting the closing point of the VNI-INDEX on 05/03/2024, at 1221 points, The model's accuracy after 10 trials is 60%.

+ Selecting an AI model suitable for predicting future market indices and business trends.

+ Supporting the forecasting of sales trends for businesses under appropriate economic conditions.

PORTFOLIO

DATA ANALYST COURSE

MindX Technology Academy:

Learn about tools ( SQL, Power BI, Python ) in Data analyst Understand data in business ( Marketing, Logistic, Finance... ) Extract and transform data with Python & SQL

Data model practice with SQL & Power BI & Python ( RFM, Cohort, Churn...) Visualize with PowerBI & Python

Prepare dashboard & present the insights

Build Machine Learning (AI) Solutions for Business 132 Xom Chieu, District 4,

HCM city

Male

090*******

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

OBJECTIVES

Short terms:

To become senior Bussiness

Analyst, Financial-Data Analyst in

the next to 2-3 years

Long terms:

To become a Professional expert in

data field the next 5-6 years

To become a Professional financial

& business and economic data

analyst in the next 5-6 years.

TRÁC TUẤN THỊNH

DATA ANALYST

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CERTIFICATES

Mircrosoft - Power BI Data Analyst

Certificate

Google - Data Analyst Professional

Certificate

MindX Academy - Data Analyst

Certificate

Microsoft- PL 300 ( In progress )

Microsoft Office Specialist (Excel,

Word, PowerPoint)

ETS-TOEIC Certificate

TDTU Arctraday - First prize in

Architectural competition

SKILLS

-Hard skills:

SQL

PowerBI, Tableau

Stata

Python

Excel

365 Office

Machine Learning AI :

1. Classification :

+ Decision Trees, Random Forest,

Logistic Regression, SVM, KNN

2. Regression :

+ Linear Regression, Decision Trees,

Random Forest, LSTM-Neural Networks

-Soft skills:

Problem sloving

Comunication skill

Presentation skill

Logical thinking

WORK EXPERIENCE

SALES & CUSTOMER SERVICE REPRESENTATIVE

CITSC JOINT STOCK COMPANY - Ho Chi Minh city

Identified potential customers through email, phone, social networks, and workshops...working in a collaborative team environment in company Provided basic consultation on design and construction products and services, ensuring effective communication to meet customer requirements. Connected customer needs with relevant departments and gathered customer feedback to report to leadership.

Provided post-service customer support

CONSTRUCTION SOLUTION CONSULTANT & ARCHITECT

NAM THANH CONSTRUCTION SOLUTION SERVICE TRADING COMPANY LIMITED - Ho Chi Minh city Met with customers directly to advise on preliminary design solutions, effectively communicating to gather customer requirements and ensure alignment with their needs.

Prepared quotations and finalized preliminary contracts, collaborating with various teams to ensure smooth project execution.

Reported to the design department, conducted detailed drawings, and improved designs based on customer feedback.

Provided weekly progress updates to customers, working in a collaborative team environment to coordinate with design, MEP, electrical, and construction teams, ensure smooth project execution.

CORPORATE CUSTOMER SPECIALIST - INTERN

MILITARY COMMERCIAL JOINT STOCK BANK ( MB BANK- KHANH HOI ) - Ho Chi Minh city Update and maintain customer relationships in the bank's system. Assist in verifying and validating customer information Help perform financial transactions and process loan/credit requests Research and assist customers in selecting suitable banking services. Provide information about the bank's financial products. Assist in gathering documents and analyzing credit for business customers. Verify compliance with regulations and participate in managing risks in financial transactions.

02/2023 - 06/2023

08/2023 - 01/2024

03/2024 - 09/2024

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