HANH LE

Data & Business Analytics • Turning data into decisions

Data Scientist Intern @ IDX Exchange | AI Researcher @ Algoverse
Focus: Data + Finance + ML
Tools: Python • SQL • Power BI
Goal: Data/Financial Analyst Internships
README.md
Data-driven Business Analytics student with experience across AI research, financial modeling, and tech consulting. I like building clear dashboards, solid models, and decision-ready insights.

Quick summary

Currently working across analytics + modeling projects with measurable impact (process speedups, KPI visibility, and model performance improvements).

What I care about

Turning messy data into simple signals, and turning signals into decisions people can act on.

Currently learning

Advanced SQL, stronger modeling discipline, and CFA Level 1 foundations.

def programming():

Python SQL Java JavaScript C++

class visualization:

Power BI Tableau Excel

import machine_learning:

Pandas Scikit-learn TensorFlow Jupyter

sudo cloud_tools:

AWS GCP Git
Experience
Highlights with outcomes and tools used.
Data Analyst Intern • Nunchi Health
25% faster reimbursements • 30% transparency • 40% engagement
Improved reimbursement workflows and reporting to support leadership visibility and faster decisions.
Dashboards Reporting Ops analytics
Data Scientist Intern • IDX Exchange
R² 0.86 • 60% automation • 20% faster investment decisions
Built forecasting + feature engineering workflows to improve model performance and reduce manual work.
Python ML Feature engineering
AI Research Assistant • Stanford University (Dr. Benjamin Liu)
90% diagnostic accuracy • 35% error reduction • 40% faster pipelines
Worked on CNN pipelines and performance improvements for diagnostic tasks and model reliability.
TensorFlow Pipelines Evaluation
Financial Analyst Intern • Congero Technology Group
25% faster close • 18% forecast precision • 30% KPI visibility
Supported forecasting and reporting improvements to increase clarity across finance operations.
Financial modeling KPI tracking Process improvement
Repos
Featured projects with stack + links.

$ ./medicare_inpatient_hospital

Medicare inpatient analysis to identify trends and cost optimization opportunities.

Stack: Python • Pandas • SQL • Visualization

$ ./stock_price_direction

ML models for stock direction prediction. Open to collaboration.

Stack: Python • ML • Financial APIs

$ ./bank_loan_analysis

Bank loan default prediction with modeling + feature engineering for risk decisions.

Stack: Python • Scikit-learn • Risk modeling

Insights
Your published notes + a small form to add more (kept from your original).

NVIDIA's China Strategy: Geopolitical Risk vs Market Opportunity

Wall Street Journal

Market Signal: NVIDIA receives approval to resume H20 AI chip sales to China after leadership engagement.

My Analysis: Strategic risk-reward is tricky under regulatory uncertainty and rising domestic competition. Diversification matters.

Retail Tariff Impact: Swedish Brand Exits US Market

Wall Street Journal

Market Signal: Polarn O. Pyret exits US market due to tariff-driven cost pressure.

My Analysis: Mid-tier brands often lack pricing power for compounding tariff + FX pressure. Watch consolidation dynamics.

Publish New Insight
Add a market note and your take.
Resume
Add a PDF link later or keep the “request” flow for now.

If you want, I can also help you generate a one-page resume PDF + add a direct download link here.