π― Aspiring Machine Learning Engineer
π Focused on mastering ML concepts and applying them through hands-on projects.
π Turning raw data into working systems.
π¬ Cinematography enthusiast | πΈ Visual storyteller in progress
- Languages: Python, SQL, C++
- ML Libraries: Scikit-learn, TensorFlow, Keras, XGBoost
- Data Tools: NumPy, Pandas, Matplotlib, Power BI
- Dev & Ops: Git, GitHub, Streamlit
- Concepts: EDA, Regression, Classification, Feature Engineering, Hyperparameter Tuning, Model Evaluation
βBuild models. Tell stories. Make impact.β Letβs connect and build together π