A motivated individual with a strong foundation in data analysis, statistics, and machine learning, seeking to leverage skills in Python programming, data manipulation, and visualization to derive actionable insights from complex datasets. Adept at using tools such as Pandas, NumPy, Matplotlib, and Scikit-learn to drive data-driven decision-making and solve real-world problems. Eager to apply analytical abilities and a passion for data to contribute to innovative projects and grow within a dynamic data science team.
Supervised learning : Linear Regression, Ridge Regression, Lasso Regression, Elastic Net Regression, Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree Classification, Random Forest Classification, Gradient Boosting Classification, XGBoost Classification, Naive Bayes
Unsupervised learning : K-Means Clustering, Hierarchical Clustering, DBSCAN, Principal Component Analysis (PCA)
Google Data Analytics Professional - Coursera
Google Data Analytics Professional - Coursera
Business Presentation Skills, Udemy