Testing, Machine Learning Algorithms, Data Visualization by Matplotlib, Seaborn, ggplot2 • Creating various dashboards and reports using Tableau, Qlikview / Qliksense, Excel, SQL • Experience in Healthcare, Telecom, Financial Analytics, Demand Forecasting and IT service analytics • SQL Database Administration & Management and IT Service Operations Business and Data Modelling with Workflow creation Skills Machine Learning Classification Algorithm : Logistics Regression, K-NN, Decision Tree, Random Forest, SVM Regression Algorithms : Linear Regression, Decision Trees, Random Forest Clustering Techniques : K-Means, Hierarchical Statistical Analysis EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques. Libraries : Statistics, Numpy, Pandas Data Visualization & Dashboarding Libraries: seaborn, matplotlib, ggplot2 Tools: Tableau
VIT University・
Master of Technology