Open to opportunities

Hang Phan

@hangphan1

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Data Analyst with Python/SQL skills, building forecasting and automated reporting from real-world data.

Vietnam

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What I'm looking for

I’m looking for a role where I can apply Python/SQL for data analysis, time-series forecasting, and automated reporting—partnering with stakeholders to turn data into clear insights and measurable business impact.

I’m a Data Analyst intern and Research Assistant with a strong foundation in Data Science and Computer Science, focused on turning operational and market data into actionable insights. In my Vietnam Investor Service internship, I analyzed operational and market data, built data entry and analysis systems for foreign enterprises, and supported stakeholders with technical requirements and data literacy training.

Across projects, I’ve applied Python-based statistical and time-series methods such as ARIMA/SARIMA and VECM, including stock analysis, forecasting, and regression modeling—like achieving 71.8% explained variance in a housing price study. I also built an AI Financial Report Automation pipeline that generates quarterly reports from structured SQL data, integrating LLMs for executive summaries, KPIs, and business insights.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Vietnam Investor Service

Jun 2024 - Aug 2024 (2 months)

Analyzed operational and market data to evaluate strategic business partners. Engineered data entry and analysis systems to streamline cross-border reporting and improved data accuracy through stakeholder collaboration and data literacy training.

Data Analysis Market Analysis Data Systems Cross Border Reporting Data Quality Stakeholder Management Requirements Gathering Data Literacy

Research Assistant

National Economics University

May 2024 - Aug 2024 (3 months)

Conducted technical analysis on multiple stocks to identify market trends and predictive patterns using Python and time-series databases. Cleaned large-scale historical financial datasets and performed time-series analysis of stock price fluctuations using Python-based libraries.

Python Time Series Analysis Time Series Databases Data Cleaning Quantitative Modeling Statistical Analysis Forecasting