Skip to content
View thanhan25's full-sized avatar
0 followers · 3 following

Block or report thanhan25

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
thanhan25/README.md

Hi, I'm An Vo 👋

M.Sc. Economics Student & Quantitative Data Analyst

📍 Based in Bonn, Germany (Open to Relocation across European Business Hubs) 💼 Seeking Internships & Entry-Level Roles in Data Analysis, Data Science, and Consulting

Data-driven professional bridging the gap between rigorous macroeconomic/statistical frameworks and modern data engineering pipelines. Experienced in structuring messy transactional data, designing optimized SQL databases, and modeling predictive analytics.

🚀 Featured Data Portfolio

📊 1. Data Engineering & ETL Pipeline (The Core Stack Showcase)

  • Project Name: Trade Performance Auditor & ETL Pipeline
  • Tech Stack: Python, SQL (PostgreSQL/SQLite), ETL, Git
  • The Solution: Engineered an end-to-end automated data pipeline that handles the ingestion, structural cleaning, and relational storage of high-frequency transactional data. Built automated validation rules to ensure 100% data integrity before writing to the database layer, eliminating manual analytics tracking completely.
  • Key Skills Proved: Relational database design, data cleaning, automated pipelines, object-oriented Python.

📈 2. Advanced Analytics & Business Intelligence Engine

  • Project Name: Quantitative Performance Analytics Engine
  • Tech Stack: Python, Pandas, NumPy, Business Metrics Calculations
  • The Solution: Developed a specialized reporting and analytics layer on top of relational database tracking. Transformed thousands of raw database metrics into macro performance KPIs, generating insights on equity curve drawdowns, win-rate expectancy, and risk-adjusted return behaviors.
  • Key Skills Proved: Data manipulation, KPI metrics formulation, behavioral analysis, business intelligence.

📐 3. Econometric Modeling & Predictive Forecasting (The Quant Angle)

  • Project Name: Econometric Time-Series Analysis
  • Tech Stack: Python (Statsmodels/Scikit-Learn) / Econometric Frameworks
  • The Solution: Applied advanced quantitative modeling techniques (Causal Inference / Time-Series Forecasting / Regression Analysis) to isolate market trends and analyze statistical distributions of volatility. Bridges economic financial theory with predictive machine learning frameworks.
  • Key Skills Proved: Statistical modeling, regression analysis, predictive forecasting, quantitative economics.

🛠️ Technical Toolbox

  • Languages: Python (Pandas, NumPy, Scikit-Learn, Statsmodels), SQL (PostgreSQL, SQLite), R
  • Data Infrastructure: ETL Pipelines, Relational Database Design, Data Ingestion & Validation
  • Domain Expertise: Econometrics, Quantitative Modeling, Financial/Performance Metrics, Statistical Inference

📬 Let's Connect!

Pinned Loading

  1. trade-performance-auditor trade-performance-auditor Public

    Automated data pipeline for auditing high-frequency trade execution. Features include custom SQL/Python ETL, automated latency/slippage visualization, enterprise-grade logging, and unit testing.

    Python

  2. retail-media-clv-optimizer retail-media-clv-optimizer Public

    End-to-end cloud data engineering and predictive CLV pipeline for retail media networks. Built with Python, BigQuery, and Looker Studio.

    Python

  3. pricing-ab-simulator pricing-ab-simulator Public

    Containerized e-commerce decision-support application bridging econometric pricing models with frequentist conversion experimentation. Simulates price elasticity metrics, tracks unit economics, and…

    Python

  4. invoice-llm-pipeline invoice-llm-pipeline Public

    Enterprise Retrieval-Augmented Generation (RAG) invoice extraction parser and human-in-the-loop validation logging pipeline for automated financial workflows.

    Python