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Prashanth Vajjhala
                                                                                                   Predicted Results
                     Business Development Executive
                     International School of Engineering

                     Certificate Program in Business Analytics and Optimization
                     Undergraduate: B.Tech (Metallurgical and Materials Engineering)


                             (+91) 9703337211     vajjhala.prashanth@gmail.com


   My Best Work in Analytics – My Current Project


 Fund investors try to find a portfolio that maximizes returns. My work is about
 finding the portfolio that has optimum combination of returns and Value at Risk
 (VAR). This project is being done because a really good portfolio must perform well
 not only in long run (the red line) but also in short run (like the blue line).

 Techniques I am using: Exponentially Weighted Moving Averages, Variance-
 Covariance and Monte Carlo simulation methods, Chi-square testing

 Software environment: R
 Details at http://prashanthvv.wordpress.com/category/my-projects/value-at-risk/


 Other Significant Projects                                                 Relevant Courses Taken
Stock Price Prediction
Aim: Considering prices of stocks over 100 days, predict the price on       Two courses in Applied Predictive Analytics covering Decision Trees,
the 101st day.                                                              Random Forests, AdaBoost, Association Rules, Neural Networks,
Dataset: Wipro, TCS and BHEL stock prices over 101 days                     Clustering, Support Vector Machines
Techniques: Moving Averages, Exponential Moving Averages and
ARIMA                                                                       One course in Statistical Modeling covering Bayesian Methods,
Tools: R                                                                    Regression, Time Series Analysis
Details at http://prashanthvv.wordpress.com/category/my-
projects/stock-price-prediction/                                            One course in Optimization, Simulation and Statistical Methods
                                                                            covering Linear Programming, Goal Programming, Genetic Algorithms,
Prediction Models for Target Marketing                                      Monte Carlo simulations
Aim: Use data mining techniques to predict the relevant customers for
a retail store.                                                             Four courses in Engineering Mathematics covering          Advanced
Dataset: 25 attributes, 4000 values                                         Calculus, Linear Algebra, Probability and Statistics
Techniques: Decision Tree, Naïve Bayes, Random Forests, AdaBoost
Tools: R                                                                    Two Management Science courses in Economics and Financial
Details at http://prashanthvv.wordpress.com/category/my-                    Analysis
projects/target-marketing/

My Skills                                                                                            Achievements

                                                                                                         Part of the core strategy and
      Statistical Analysis                                                                                Business Development team at
      R (Statistical Tool)                                                                                INSOFE
     Predictive Analytics                                                                                Top 10% of the class in Mathematics
Optimization Techniques                                                                                   and Communications Courses
            Mathematics                                                                                  Grew local AIESEC chapter by 150%
                                                                                                          as the Team Leader
                Marketing
                                                                                                         Recognized as Best Team Member
        Leadership Skills                                                                                 in AIESEC
        Exposure to SAS                                                                                  Built a student network across 50
             Data Mining                                                                                  countries and understood various
  Communication Skills                                                                                    cultural diversities
         C Programming                                                                                   Top 10% of the class in Certificate
 Business Development                                                                                     Program in Business Analytics and
   Bayesian Techniques                                                                                    Optimization – Program certified by
                                                                                                          the LTI of Carnegie Mellon
Proficiency Level (0 - 10) 0     1     2      3     4      5     6      7         8    9      10          University



Work Experience                                                                   Education

Executive – Business Development at INSOFE
May, 2012 to present:
      Part of the 5 member strategy and Business Development
       team
      Built a client network of over 50 companies ranging from
       start – ups to MNCs to promote INSOFE’s certificate programs
      My work involves a lot of data analysis and decision making.


Consultant – International School of Engineering (INSOFE) –
January, 2011 to April, 2012:
      Organized 2 workshops on Business Analytics and Big
       Data
      Attended by over 50 CIO level executives and more than 300
       working professionals

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My Resume

  • 1. Prashanth Vajjhala Predicted Results Business Development Executive International School of Engineering Certificate Program in Business Analytics and Optimization Undergraduate: B.Tech (Metallurgical and Materials Engineering) (+91) 9703337211 vajjhala.prashanth@gmail.com My Best Work in Analytics – My Current Project Fund investors try to find a portfolio that maximizes returns. My work is about finding the portfolio that has optimum combination of returns and Value at Risk (VAR). This project is being done because a really good portfolio must perform well not only in long run (the red line) but also in short run (like the blue line). Techniques I am using: Exponentially Weighted Moving Averages, Variance- Covariance and Monte Carlo simulation methods, Chi-square testing Software environment: R Details at http://prashanthvv.wordpress.com/category/my-projects/value-at-risk/ Other Significant Projects Relevant Courses Taken Stock Price Prediction Aim: Considering prices of stocks over 100 days, predict the price on Two courses in Applied Predictive Analytics covering Decision Trees, the 101st day. Random Forests, AdaBoost, Association Rules, Neural Networks, Dataset: Wipro, TCS and BHEL stock prices over 101 days Clustering, Support Vector Machines Techniques: Moving Averages, Exponential Moving Averages and ARIMA One course in Statistical Modeling covering Bayesian Methods, Tools: R Regression, Time Series Analysis Details at http://prashanthvv.wordpress.com/category/my- projects/stock-price-prediction/ One course in Optimization, Simulation and Statistical Methods covering Linear Programming, Goal Programming, Genetic Algorithms, Prediction Models for Target Marketing Monte Carlo simulations Aim: Use data mining techniques to predict the relevant customers for a retail store. Four courses in Engineering Mathematics covering Advanced Dataset: 25 attributes, 4000 values Calculus, Linear Algebra, Probability and Statistics Techniques: Decision Tree, Naïve Bayes, Random Forests, AdaBoost Tools: R Two Management Science courses in Economics and Financial Details at http://prashanthvv.wordpress.com/category/my- Analysis projects/target-marketing/ My Skills Achievements  Part of the core strategy and Statistical Analysis Business Development team at R (Statistical Tool) INSOFE Predictive Analytics  Top 10% of the class in Mathematics Optimization Techniques and Communications Courses Mathematics  Grew local AIESEC chapter by 150% as the Team Leader Marketing  Recognized as Best Team Member Leadership Skills in AIESEC Exposure to SAS  Built a student network across 50 Data Mining countries and understood various Communication Skills cultural diversities C Programming  Top 10% of the class in Certificate Business Development Program in Business Analytics and Bayesian Techniques Optimization – Program certified by the LTI of Carnegie Mellon Proficiency Level (0 - 10) 0 1 2 3 4 5 6 7 8 9 10 University Work Experience Education Executive – Business Development at INSOFE May, 2012 to present:  Part of the 5 member strategy and Business Development team  Built a client network of over 50 companies ranging from start – ups to MNCs to promote INSOFE’s certificate programs  My work involves a lot of data analysis and decision making. Consultant – International School of Engineering (INSOFE) – January, 2011 to April, 2012:  Organized 2 workshops on Business Analytics and Big Data  Attended by over 50 CIO level executives and more than 300 working professionals