Kunal Parmar [email protected] | 832.916.6560 | LinkedIn: kunalparmar5 | GitHub: kjparmar | Houston, TX PROJECTS STATISTICAL ANALYSIS OF A GOOGLE SCHOLAR DATASET • Performed data cleaning, exploratory data analysis, quantitative data analysis (regression, ANOVA) and mixed models for a step-by-step statistical analysis of a dataset of publications of professors from various US universities OBJECT RECOGNITION BY IMAGE PROCESSING TECHNIQUES • Classification of test CD images using features extracted from training set CD images using SURF feature extraction technique (100% accuracy) ; pre-processing performed like smoothening and sharpening of images increased prediction accuracy MACHINE LEARNING • Implemented Adaboost technique in MATLAB to combine various weak learners on a non-linear data set; achieved 90% accuracy by using Adaboost, compared with other classification techniques CLOUD MEDIA CENTER • Developed a prototype cloud service with Python and Google Engine which allows client user to download and store media files on cloud storage and stream them to a browser at will, without bandwidth or storage requirement EXPERIENCE ENGINEERING INTERN | ON CENTER SOFTWARE June 2015 - Present | Woodlands, TX • Implemented a low-priority custom thread pool for uploading of images. The low priority thread pool kicks threads in the background increasing the responsiveness of the application user interface. Decreased UI response time by 87.5% • Updated unit tests for the application and also performed code analysis for the code assembly SOFTWARE ENGINEERING INTERN | APTTUS CORPORATION May 2015 - Aug 2015 | San Mateo, CA • Developed a debug log analyzer utility that parses Salesforce debug logs for critical execution time information • Utility was developed to be native to a Salesforce org and include custom user settings by using jQuery. • Decreased runtime of previously implemented Perl parsing logic INSTRUCTIONAL ASSISTANT | UNIVERSITY OF HOUSTON Sep 2015 – May 2016 | Houston, TX • Assist the students in the graduate Cloud Computing class and undergraduate Object Oriented Programming class with assignments and projects involving use of Java, C++, Amazon AWS, Hadoop and MapReduce . RESEARCH PATTERN ANALYSIS LAB AT UNIVERSITY OF HOUSTON Aug 2015 – June 2016 | Houston, TX • Completed Master’s Thesis under Dr. Ricardo Vilalta. Research was on external cluster assessment of galaxies using machine learning techniques . EDUCATION UNIVERSITY OF HOUSTON MASTER OF SCIENCE IN COMPUTER SCIENCE Graduated in May 2016 Houston,TX GPA: 3.79/4.0 GUJARAT TECHNOLOGICAL UNIVERSITY BACHELOR OF ENGINEERING IN COMPUTER ENGINEERING Graduated in May 2014 Ahmedabad, India CGPA: 8.47/10.0 (1 st Class Hons.) SKILLS PROGRAMMING R • Java • Matlab • JavaScript C#.Net • Python • Apex • VisualForce • MySQL • CSS • HTML OPERATING SYSTEMS Windows • Linux TOOLS Weka • Subversion • Visual Studio • Team Foundation Server CODING COMPETITIONS 2 nd place: Java coding contest 2 nd place: Blog design contest COURSEWORK GRADUATE Advance Machine Learning, Advance Statistical Methods, Machine Learning, Data Mining, Digital Image Processing, Database Systems , Cloud Computing UNDERGRADUATE Object Oriented Programming with Java, Data and File Structures, Analysis of Algorithms, Operating Systems, Web Application Development

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Kunal [email protected] | 832.916.6560 | LinkedIn: kunalparmar5 | GitHub: kjparmar | Houston, TX

PROJECTSSTATISTICALANALYSISOFAGOOGLE SCHOLARDATASET

• Performed data cleaning, exploratory data analysis, quantitative data analysis (regression, ANOVA) andmixedmodelsfor a step-by-step statistical analysis of a dataset of publications of professors from various US universities

OBJECT RECOGNITIONBY IMAGE PROCESSING TECHNIQUES• Classification of test CD images using features extracted from training set CD images using SURF feature extraction

technique (100% accuracy) ; pre-processing performed like smoothening and sharpening of images increased predictionaccuracy

MACHINE LEARNING• Implemented Adaboost technique inMATLAB to combine various weak learners on a non-linear data set; achieved 90%

accuracy by using Adaboost, compared with other classification techniquesCLOUDMEDIA CENTER

• Developed a prototype cloud service with Python andGoogle Engine which allows client user to download and storemedia files on cloud storage and stream them to a browser at will, without bandwidth or storage requirement

EXPERIENCEENGINEERING INTERN | ON CENTER SOFTWAREJune 2015 - Present | Woodlands, TX

• Implemented a low-priority custom thread pool for uploading of images. The low priority thread pool kicks threads in thebackground increasing the responsiveness of the application user interface. Decreased UI response time by 87.5%

• Updated unit tests for the application and also performed code analysis for the code assembly

SOFTWARE ENGINEERING INTERN | APTTUS CORPORATIONMay 2015 - Aug 2015 | San Mateo, CA

• Developed a debug log analyzer utility that parses Salesforce debug logs for critical execution time information• Utility was developed to be native to a Salesforce org and include custom user settings by using jQuery.• Decreased runtime of previously implemented Perl parsing logic

INSTRUCTIONALASSISTANT | UNIVERSITY OF HOUSTONSep 2015 – May 2016 | Houston, TX

• Assist the students in the graduateCloud Computing class and undergraduateObject Oriented Programming class withassignments and projects involving use of Java, C++, Amazon AWS, Hadoop andMapReduce .

RESEARCHPATTERNANALYSIS LABATUNIVERSITYOFHOUSTONAug 2015 – June 2016 | Houston, TX

• CompletedMaster’s Thesis under Dr. Ricardo Vilalta. Research was on external cluster assessment of galaxies usingmachine learning techniques .

EDUCATIONUNIVERSITYOFHOUSTONMASTER OF SCIENCE IN COMPUTERSCIENCEGraduated in May 2016Houston,TXGPA: 3.79/4.0

GUJARAT TECHNOLOGICALUNIVERSITYBACHELOR OF ENGINEERING INCOMPUTER ENGINEERINGGraduated in May 2014Ahmedabad, IndiaCGPA: 8.47/10.0 (1st Class Hons.)

SKILLSPROGRAMMINGR • Java •Matlab • JavaScriptC#.Net • Python • Apex •VisualForce •MySQL • CSS •HTML

OPERATING SYSTEMSWindows • Linux

TOOLSWeka • Subversion • Visual Studio •Team Foundation Server

CODINGCOMPETITIONS2nd place: Java coding contest2nd place: Blog design contest

COURSEWORKGRADUATEAdvanceMachine Learning,Advance Statistical Methods,Machine Learning, DataMining,Digital Image Processing,Database Systems , Cloud Computing

UNDERGRADUATEObjectOriented Programmingwith Java,Data and File Structures,Analysis of Algorithms,Operating Systems,Web Application Development

mailto:[email protected]

https://www.linkedin.com/in/kunalparmar5

https://www.github.com/kjparmar

http://cosc.uh.edu/~vilalta/