Resume category: AUTOMOBILE

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