Summary * Master of Science in Business Analytics. Graduated in May 2018 * Proficient in statistical modeling: distribution, simulation, linear & logistic regression, hypothesis testing * Knowledge of machine learning algorithms such as clustering, Naive Bayes, k-NN, Random Forest, Decision Trees, k-Means, etc. * R, Python, SQL, Azure ML, Excel & Excel Stat Tools, SPSS * Data cleansing, Treatment of missing and values & outliers, Exploratory data analysis, Visualization, Modeling, Training & testing * Creative mind, active listener, possess excellent communication and interpersonal skills Used Correlation Analysis Chi-Square Independence test and Principal Component Analysis (PCA) for dimensionality reduction

Highlights:

• Billing
• Data Analysis
• Forecasting
• Microsoft Excel
• ML
• Modeling Experience
• Project Coordinator
• Python Programming Language
• Receivables
• Research