๐ Iโm a data-driven professional with a Master's in Economics and hands-on experience in:
- Data Analytics & Visualization (Python, SQL, Power BI, Tableau)
- Machine Learning (Regression, Clustering, NLP, Forecasting)
- Business Intelligence (KPI dashboards, campaign insights, Excel VBA automation)
๐ก I love working on data storytelling, predictive modeling, and building tools that make insights easy to understand and act upon.
- Languages: Python, R (basic), SQL, DAX
- Libraries: Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, Flask
- BI Tools: Power BI, Tableau, Excel, Google Sheets
- Other: Git & GitHub, Flask APIs, NLP, Random Forest, PCA
- ๐ง Cryptocurrency Liquidity Forecasting: Real-time DeFi liquidity prediction using Random Forest and Power BI.
- ๐ Sales & KPI Analysis Dashboard: SQL-driven dashboard tracking product performance and YoY trends.
- ๐ฅ Customer Segmentation via Clustering: PCA + K-Means to uncover marketing personas from spending behavior.
๐ฌ Reach out if you're hiring, collaborating, or just want to talk data!