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                                                       DHEERAJ SRIVATHSAV PALAKURTHY

1015 E Brook’s Street Apt F | Norman, OK 73071      | 405-215-0894



MS in Data Science& Analytics                                     B.Tech in Electronics and Computer Engineering

University of Oklahoma| Norman OK                            KL University, Vijayawada, India

Expected 2019| GPA 3.55/4.0                                     May 2016 | GPA 8.93/10.0                   


Relevant Course Work: Machine Learning, Intelligent Data Analytics, Artificial neural networks, Text Analytics, Database Management, Advanced Analytics & Metaheuristics, Statistical Engineering, Data Structures(C++)


Technical Skills:

Languages and Databases: C, C++, C#, Java, R, Python, PL/SQL, MySQL, Oracle, Teradata, Snowflake (Cloud DWH)

Web Development: ASP.NET MVC 5, HTML 5, CSS3

ETL and Data Visualization Tools: Informatica Power center 9.6, Tableau, OBIEE


Professional Experience:

Graduate Research Assistant-Center for Spatial Analysis, Feb 2018-Till Date

Earth Observation and Modeling Facility (EOMF) - University of Oklahoma Norman

  • Working with EOMF Team in support of Data Analytics and Web development under Dr. Xiangming Xiao


Database Migration, October 2016-July 2017

Wipro Technologies-Chennai/India

Project: Database Migration from Teradata to Snowflake (Cloud-DWH) for the purpose of cost cutting


  • Key contributor to the team which competed with 3 other vendors during Proof-of-concept (POC) under extreme deadline and was successful in achieving the full-time project from the client
  • Promoted to a greater band and responsibility in recognition to on-the-job-Knowledge sharing and helping other teammates in boosting their efficiency levels


Java Developer-Resource Talent Profiling, May 2016-Sept 2016

Wipro Technologies-Chennai/India

Project: Resource Talent Profiling is an application, which consists details of all employees working in Wipro. We should develop the application in such a way that various levels of managers can see their team details.


  • Developed Login page, PM and DM modules in this application. Based on the user role it will redirect to PM, HR or DM pages.


Outbrain Click Prediction - Technologies: Python||Dataset: Kaggle

  • Created predictive models to predict whether the user clicks an advertisement or not.
  • We dealt with 100 million datasets and applied different techniques like OLS, PLS, LASSO, elastic net, SVM, MARS, Random forest, gradient boosting, ANN to predict and submitted the best predictions to Kaggle.


1. EVENT CALENDAR                                                               Technologies: C#, ASP.Net, SQL, AngularJS

             Developed Event scheduler application with notification features using MVC Architecture

2. OU HOUSE PRICE PREDICTION                                            Technologies: Python||Dataset: Kaggle

             Developed models using different Regression techniques, Decision Trees, SVM to predict the Price of each house

3. TIME SERIES VISUALIZATION AND FORECASTING                Technologies: RStudio, Python                                                             

             Worked on different forecasting methods and estimated parameters for standard models like AR, MA, ARMA

4. OU LOAN DEFAULT PROBLEM                                              Technologies: RStudio||Dataset: Kaggle

             Developed models using Logistic Regression, Decision Trees, ANN to predict whether a customer will default or  not

5. LIBRARY MANAGEMENT SYSTEM                                         Technologies: Java, JDBC, SQL

             Implemented with efficient retrieval of collections


 1. Paper Publication in JATIT with paper ID: 28390 in the field ofMedical Image Water Marking with PSNR optimization in Wavelet                 Domain based on BAT Algorithm” Supervised by Dr.P.V.V.Kishore || Technology: MAT-LAB

2. Co-Founder and General Secretary for a Non-Profit Organization named Youth Foundation for Society (YFS)

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