I am a Python Developer and Data Scientist with expertise in algorithmic trading, data visualization, and machine learning. My passion lies in transforming complex data into actionable insights that drive strategic decision-making and optimize trading performance.
I am specialize in building interactive dashboards, optimizing machine learning models, and implementing advanced data analysis techniques to uncover trends and insights.
- Data Visualization: Developed interactive dashboards using Dash for real-time insights.
- Algorithmic Trading: Designed and optimized trading strategies using feature engineering.
- Machine Learning: Built high-accuracy models using SHAP, XGBoost, LightGBM, and Scikit-learn.
- Performance Optimization: Improved efficiency by 20% through code optimization.
- Data Analysis: Conducted in-depth exploratory data analysis (EDA) for informed decision-making.
- Data Verification: Co-developed a data integrity verification system to enhance accuracy and streamline workflows.
- Languages & Libraries: Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras
- Machine Learning: XGBoost, LightGBM, CatBoost, Random Forest, SHAP, Feature Engineering
- Data Visualization: Dash, Matplotlib, Seaborn, Plotly
- Development & IDEs: Jupyter Notebook, PyCharm, VS Code, DataSpell, Anaconda
- LinkedIn: linkedin.com/in/rautankush070894
- Email: [email protected]
- GitHub: github.com/your-username
- Portfolio: rautankush0708.github.io