Data Analyst focused on building end-to-end analytics pipelines, SQL modeling, and interactive BI dashboards.
- Languages & Libraries: Python (Pandas, NumPy), SQL (PostgreSQL, Azure SQL)
- Cloud & Databases: Azure (Blob Storage, SQL Database), SQL Server
- Visualization: Power BI, Tableau
- Workflow & Tools: Git/GitHub, VS Code, Jupyter Notebooks
- 🔭 I’m currently working on: Building end-to-end data analytics pipelines (Retail RFM customer analytics) using Python, SQL window functions, and Azure Cloud, alongside developing computational chemistry / AI-driven software workflows.
- 🌱 I’m currently learning: Advanced Azure Cloud architecture (Data Factory & Azure SQL optimization), React Native / Supabase for full-stack apps, and deep-dive football spatial analytics (mplsoccer).
- 👯 I’m looking to collaborate on: Open-source data analytics tools, Python-based computational chemistry workflows, or sports analytics projects.
- 🤔 I’m looking for help with: Best practices for CI/CD automated deployment pipelines on Azure and scaling cloud-native data platforms.
- 💬 Ask me about: Python (Pandas/PyTorch), SQL data modeling & window functions, computational chemistry & molecular simulations, or how to build interactive BI dashboards!
- Ecommerce RFM & Customer Segmentation: End-to-end data pipeline using Azure Blob Storage, Python ETL, SQL window functions, and Power BI.
- 📫 How to reach me: [Your Email Address] | [Your LinkedIn Profile URL]
