Data Analyst

Gopal Krishna Bhatia

**** *. ******** ***, *** **1, Chicago IL 312-***-**** *****.********@*****.*** www.linkedin.com/in/gopalbhatia SUMMARY

Master of Computer Science candidate with specialization in Data Analytics. Multiple successful project experiences and extensive knowledge of data methodology. Seeking full-time opportunities in Data Analytics. EDUCATION

Illinois Institute of Technology, Chicago, IL Aug 2014 - Jul 2016 Master of Computer Science(Specialization in Data Analytics), GPA: 3.75/4.0 Relevant Courses: Data Mining, Data Intensive Computing, Machine Learning, Advanced Data Mining, Advanced Database Organization, Design & Analysis of Algorithms, Web Applications, Software Systems Architecture Jawaharlal Nehru Technological University, Hyderabad, India May 2010 - May 2014 Bachelor of Technology in Information Technology, GPA: 3.6/4.0 TECHNICAL TOOLS AND SKILLS

Languages R, Python, SQL, JavaScript, HTML5, XML Schema, CSS3, AngularJS, jQuery, J2EE Tools SAS, SPSS, SSIS, SSRS, Git, MS SQL Server, SQL Developer, Cognos, MS Excel, MS Access, MS Visio Databases Oracle Database, MySQL, SQL, MongoDB

Operating Systems Windows, Linux (Ubuntu), Unix

Cloud Technologies Amazon Web Services, Hadoop, MapReduce, Matrix, Swift, Spark, Charm++ Certifications IBM Cognos BI Authoring Professional Reports: Advanced, Oracle Certified Java Programmer EXPERIENCE

Data Analyst Co-op Intern, Illinois Institute of Technology, Chicago IL May 2015 - Present

• Extract, analyze and format institutional data in support of information requests.

• Assist with information requests by extracting data from administrative systems using Cognos, SQL Developer and MS Excel Macros and prepare summary reports using a data manipulation tool such as SPSS, MS Access/Excel.

• Utilize R and SPSS for creating statistical and predictive models for analysis and to optimize classification and correlation between different test cases.

• Collect, collate and conduct complex data analysis pertaining to university assessment and reporting statistical findings to the Chair of the Vice Provost.

Software Engineering Intern, Defence Research and Development Organisation, Hyderabad, India May 2013 - Jul 2013

• Worked on software implementation for testing Test-Jig Unit of Launcher Interface Unit Simulator of Agni Missile along with acquiring familiarity with working principles of various missiles and importance of software and testing. PROJECTS

Parametric Regression - Machine Learning Jan 2016 - Feb 2016

• Machine Learning Algorithm for Single and Multivariable feature to predict the values of given features.

• Applied gradient descent and Gaussion Kernel methods for model prediction.

• Compared testing error and training error with explicit function of scikit-learn libraries. FOODBORNE 2.0 Dec 2014 - Aug 2015

• Earned an opportunity to work with the Chicago Department of Public Health and the Chicago Innovation Exchange on the project “Foodborne 2.0” after winning the Healthy Chicago Innovation Challenge.

• Worked with Chicago Department of Public Health aiming to decrease the number of food poisoning cases in Chicago using predictive analysis on the Twitter data to flag potentially dangerous restaurants for inspection.

(http://www.chicagotribune.com/bluesky/originals/chi-healthy-chicago-innovation-challenge-bsi-20150210-story.html) MidWest Car Rentals- A Java Web Application Online Retailer Aug 2015 - Nov 2015

• Developed a Car Rental website for renting fleet vehicles, an interface for tracking and cancelling orders, maintaining sessions for each user, and filtering the items per customer requirements using HTML, Servlet, JSP, CSS, and Bootstrap.

• Implemented AJAX calls for improved customer experience, JavaScript for validations, and MongoDB used to store data in form of collections and documents.

Benchmarking the state-of-the-art Task Execution Frameworks of Many-Task Computing Jan 2015 - Apr 2015

• Bench-marked performance and efficiency of various systems (ex. Swift, Yarn-Hadoop, Matrix) by installing on EC2 Cloud.

• Evaluated performance by sleep task and different workloads.

• Compared performance by implementing task with varying number of virtual machines from 2, 4, 8, 16…128. VehiTrack: An Android app for tracking vehicles Jan 2014 - Apr 2014

• Built an Android application installed in Android devices in buses to broadcast co-ordinates of current location of bus.

• Tracked current location of all buses in university on webpage, displaying exact location of buses on Google Maps. Ranking Model Adaptation for Domain-Specific Search Aug. 2013 - Dec 2013

• Performed analysis of IEEE paper titled “Ranking Model Adaptation for Domain-Specific Search”.

• Implemented algorithm to adapt ranking model effectively and efficiently, and to utilize domain-specific features to further boost model adaptation.

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