7) Experienced in Machine learning algorithms Worked on several real time case studies Tools: Python Packages: Scikit-Learn, Numpy, Scipy, Pandas, Matplotlib, Stats models Statistics/Machine Learning Algorithms: Linear & Logistic Regression, SVM, PCA,LDA, Decision Tree, Random Forests, Clustering, Dimensionality Reduction,Naive Bayes
Achievements:
Deployed complex predictive models like Time-series analysis & simulation to forecast sales
Created statistical models (ML algorithms/Regressions) & cluster groups (Kohonen maps/k-Means) to boost market share
independently performed visualization analysis of the assigned dataset
Improved Accuracy in Breast-cancer Dataset using Dimensionality Reduction and various Machine learning Techniques.