Passionate about data science, I excel at using machine learning and data analysis to find insights from complex datasets. Skilled in Python and problem-solving, I have improved model performance and efficiency. I work well in teams and can clearly visualize and interpret data. Experienced in statistical modeling, data visualization, and developing machine learning models. Always learning new technologies to enhance my data science skills and support business decisions.
Data standardization
Data exploration
Data cleansing
Data visualization tools ( Power BI, Matplotlib, Seaborn)
Supervised learning (Regression, Classification)
Unsupervised learning (Clustering, Dimensionality reduction)
Ensemble methods (Random Forest, Gradient Boosting, AdaBoost)
Deep learning frameworks (TensorFlow, Keras, PyTorch)
Model evaluation and validation (Cross-validation, KFold, Grid Search)
Python (Pandas, NumPy, Scikit-learn)
SQL
Java
C
Data Structures
Soft Skills: