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BHUVANA SREE PARIMI
● (704) 858-7459 ● bparimi@uncc.edu ● www.linkedin.com/in/bhuvanaparimi
EDUCATION
Master of Science – Computer Science,GPA:3.5/4.0 August2016 – December2017
Universityof NorthCarolinaatCharlotte,NC Charlotte,NC,USA
Relevant Coursework: Topics in Computer Science: Big Data Cloud Deployment, Machine Learning,
KnowledgeDiscoveryinDatabases,Software systemDesign&Implementation.
Bachelor of Technology– Electrical Engineering,GPA:3.5/4.0 June 2012 - May 2016
G. NarayanammaInstitute of Technology&Sciences Hyderabad,India
RelevantCoursework: ComputerProgramming,DataStructures,OOPSthroughJAVA,Microprocessors
and Microcontrollers.
TECHNICAL SKILLS
 Programming Languages: Java,R, C, C++, Python.
 Data Processing& Visualization:Hadoop,Spark,MapReduce,Qlikview.
 WebDevelopment:HTML, CSS,XML.
 Databases: SQL, MySQL, PHP.
 Tools & Servers: Eclipse, VisualStudio, MATLAB, MSOffice.
 OperatingSystems: Windows,Linux,Android.
Professional Experience: Silicon Guru Nov 2015 – Apr 2016
 Derived KPIs to get insights from data for IT Survey data-2015 and IT Spend data- 2014-15.
Thiswill helpthe industryinvestinthe rightareasof IT divisions.
 Sole contributorinbuilding QlikviewDatamodelsandQlikviewApplications forthe ITSurvey
data-2015 and IT Spenddata-2014-15 of SiliconGuru fromscratch.
 PerformedTextAnalyticsin Pythonto predictLocal IT Supportperformance for the industry
to be able to quantifyhowmucheffortisto be put inimprovingareas.
DATA SCIENCE PROJECTS:
 Health Care Data Mining: Designed data mining algorithm in Java and python to extract
insightful rulesfromMedical data
 MachineLearning: Developed Machine Learning(BayesianandLogit) data modelsin Python
to predict School’s performance in the state of North Carolina based on various factors like
poverty,race,teacherqualification,studentgradesandschool infrastructure.
 ImplementedvariousSupervisedMachine Learningmodelsandcomparedtheirperformance
usingvariousevaluationmetrics.
ACADEMIC PROJECTS:
 PBLStore:A PHPandMySQL basedWebapplicationdevelopedfor theclient‘PhiBetaLambda
ClothingCloset’thatenablesitscustomerstoeffectivelybuyandsell donatedclothingarticles
online.
 Online Booking Sharing:AnAndroidand SQLite database basedapplicationthatallowsusers
to exchange booksbasedontheirrequirements.
 Comparison of Sorting Algorithms: JAVA program for the Theoretical Analysis of a variety of
sorting algorithms by comparing their actual performance and implemented an efficient
LongestCommonSubsequence algorithm.

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  • 1. BHUVANA SREE PARIMI ● (704) 858-7459 ● bparimi@uncc.edu ● www.linkedin.com/in/bhuvanaparimi EDUCATION Master of Science – Computer Science,GPA:3.5/4.0 August2016 – December2017 Universityof NorthCarolinaatCharlotte,NC Charlotte,NC,USA Relevant Coursework: Topics in Computer Science: Big Data Cloud Deployment, Machine Learning, KnowledgeDiscoveryinDatabases,Software systemDesign&Implementation. Bachelor of Technology– Electrical Engineering,GPA:3.5/4.0 June 2012 - May 2016 G. NarayanammaInstitute of Technology&Sciences Hyderabad,India RelevantCoursework: ComputerProgramming,DataStructures,OOPSthroughJAVA,Microprocessors and Microcontrollers. TECHNICAL SKILLS  Programming Languages: Java,R, C, C++, Python.  Data Processing& Visualization:Hadoop,Spark,MapReduce,Qlikview.  WebDevelopment:HTML, CSS,XML.  Databases: SQL, MySQL, PHP.  Tools & Servers: Eclipse, VisualStudio, MATLAB, MSOffice.  OperatingSystems: Windows,Linux,Android. Professional Experience: Silicon Guru Nov 2015 – Apr 2016  Derived KPIs to get insights from data for IT Survey data-2015 and IT Spend data- 2014-15. Thiswill helpthe industryinvestinthe rightareasof IT divisions.  Sole contributorinbuilding QlikviewDatamodelsandQlikviewApplications forthe ITSurvey data-2015 and IT Spenddata-2014-15 of SiliconGuru fromscratch.  PerformedTextAnalyticsin Pythonto predictLocal IT Supportperformance for the industry to be able to quantifyhowmucheffortisto be put inimprovingareas. DATA SCIENCE PROJECTS:  Health Care Data Mining: Designed data mining algorithm in Java and python to extract insightful rulesfromMedical data  MachineLearning: Developed Machine Learning(BayesianandLogit) data modelsin Python to predict School’s performance in the state of North Carolina based on various factors like poverty,race,teacherqualification,studentgradesandschool infrastructure.  ImplementedvariousSupervisedMachine Learningmodelsandcomparedtheirperformance usingvariousevaluationmetrics. ACADEMIC PROJECTS:  PBLStore:A PHPandMySQL basedWebapplicationdevelopedfor theclient‘PhiBetaLambda ClothingCloset’thatenablesitscustomerstoeffectivelybuyandsell donatedclothingarticles online.  Online Booking Sharing:AnAndroidand SQLite database basedapplicationthatallowsusers to exchange booksbasedontheirrequirements.  Comparison of Sorting Algorithms: JAVA program for the Theoretical Analysis of a variety of sorting algorithms by comparing their actual performance and implemented an efficient LongestCommonSubsequence algorithm.