Career Growth
🚀 Data Scientist & Analyst passionate about finance, investing, and predictive modeling.
I help businesses solve complex problems with data, build machine learning models, and generate insights that drive smarter decisions.
- 🎓 Economics (BSc) & Applied Economics (MSc): Strong quantitative foundation for data analysis and business insight.
- 🧠 Data Science & ML: Built predictive models and feature engineering pipelines using Python, Pandas, NumPy, Scikit-learn, and XGBoost.
- 💼 Finance & Business Analytics: Delivered actionable insights on property prices, customer churn, and investment evaluation.
- ⚙️ End-to-End Project Execution: Experienced in data cleaning, analysis, model training, validation, and deployment pipelines.
- 🏆 Projects & Impact: Developed high-quality Kaggle projects and automated ML solutions with interpretable outputs.
- 🌱 Currently exploring: Time series forecasting, big data tools (Hive, Impala), and deep learning
- 💬 Ask me about: Python, data visualization, and financial modeling
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Classification project predicting passenger survival using ML. Applied preprocessing, feature engineering (titles, family size, cabin deck), and model evaluation with XGBoost. Automated pipeline for training and prediction. |
Regression project predicting property sale prices. Applied geospatial and temporal feature engineering and built XGBoost models with GPU acceleration for accurate and interpretable predictions. |