DATA ANALYST Professional Summary Industrial Systems Engineering graduate, certified Base SAS Programmer Lean Six Sigma Green Belt strong background statistics, mathematics logical problem solving looking dynamic opportunity data driven fields analytics statistical modeling. Core Qualifications Data Science Tools: R, Base SAS, Python (Numpy, Pandas, Matplotlib, Scikit- learn), SPSS, Minitab, MATLAB, Apache Spark, SQL, MS Excel, MS Visio, Tableau MySQL, Oracle Database, Microsoft Access Key Competencies: Data Extraction, Data Wrangling, Data Analysis, Data Visualization, Regression Analysis (Linear, Logistic Multinomial), Time Series Analysis, Association Rule Mining, Monte Carlo Simulation, Optimization, Random Forests Experience 07/2016 Current Data Analyst Company Name － State 09/2015 05/2016 Student Manager Company Name － State Undertook leadership advisory role training newcomers hone culinary behavioral skills. PROJECTS Classification Customers Credit Card Company Jan 2016 ­ May 2016 Performed logistic regression credit card company dataset classify clients credible non-credible. Extracted crucial factors simplify classification model using exploratory factor analysis. Developed validated model classify future customers aid decision-making. Simulation Analysis Adding Second Parking Ticket Booth Mall Aug 2015 ­ Dec 2015 Assessed distribution trends incoming customer patterns performing statistical analysis MATLAB ExpertFit. Additional booth modeled using Arena reduced average waiting time per customer 6.2 minutes 1.8 minutes. Statistical Analysis Defects Clutch Plate Manufacturing A Six Sigma Study Jan 2015 ­ May 2015 The DMAIC methodology (Define, Measure, Analyze, Improve Control) implemented understand cause defects data statistically analyzed help control charts using Minitab. 06/2013 07/2013 Intern Company Name Identified areas assembly line light commercial vehicle operations could housed. Developed detailed model improved layout accommodate operations using AutoCAD improve space utilization 300%. consultant self-storage company classify customers 'worthy' 'not worthy' based activity company website using Random Forest algorithm. Built model R model deployment using Python. Currently building reservation model Public Storage forecast customer would reserve storage not. Education Aug 2016 Masters Science Industrial Systems Engineering Binghamton University, State University New York Industrial Systems Engineering 3.51/4.00 May 2014 Bachelors Engineering Mechanical Engineering Osmania University Mechanical Engineering 3.33/4.00 Skills Apache, AutoCAD, charts, Credit, clients, Data Analysis, Data Visualization, Databases, Dec, decision-making, layout, leadership, MATLAB, Microsoft Access, MS Excel, Minitab, MySQL, Optimization, Oracle Database, Python, SAS, Simulation, Six Sigma, SPSS, SQL, Statistical Analysis, Tableau, Visio, website