Abhishek Vijayvargia DS .pdf

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Abhishek Vijayvargia
Email : abhivj@iitk.ac.in , abhishek.vijayvargia@gmail.com
Address : J-205, Hall-7, IIT Kanpur,, U.P.- 208 016
Phone : +91-7752894785

Masters Degree in Computer Science and
Bachelors Degree in Computer Science
and Engineering

Indian Institute Of Technology, Kanpur
Engineering College, Ajmer
D.A.V. Sr. Sec. School, Ajmer
D.A.V. Sr. Sec. School, Ajmer



Secured Rank 229 (among 224,160 students) in GATE 2013 (99.89 percentile).
Got 100% marks in Mathematics in High School and 98.66% in Intermediate examination.
Secured 1st Position in Software Development competition organized by Engineering College Ajmer in the year 2008.
Secured 1st Position in Myst (Quiz Competition) in IEEE competition 2011.
Secured 2nd Position in ClassByte (Java Based Competition) in MNIT, Jaipur Technical Festival Neuron 2010.
Secured 2nd Position in Algo-Bunch (Algorithm based Competition) organized by Engineering College Ajmer in the year 2011.
Secured 2nd Position in Linux-Whiz ( Quiz related to Linux) organized by Engineering College Ajmer in the year 2011.
Secured 3rd Position in National level Ethical Hacking Contest, InCTF 2011.
Got “Excellent” certification in Java Programming Language using SE6 (June 2010), Advanced Java Programming for Web
Development (November 2010) And Developing Mobile Application Using J2ME (June 2011) by Academic Council of NIIT.

Building “Artificial Data Scientist”
Supervisors: Prof. Harish Karnick, Sanjay Kaluskar (CTO informatica)
 Working on algorithm for selecting efficient machine learning models according to data.
 Given any new dataset, find out which algorithm should perform better than others without running any cross validation test.
 Similarity between new dataset and all previous datasets.
 When the data set is too large (as it is in the big data) give efficient algorithm by doing some feature selection optimally and by the
similarity with our previous knowledge of datasets.
 Working on efficient load shedding and data averaging algorithms to manage high speed data.
Summer Intern at “Informatica R&D US CTO”
 Added Decision trees, Random forest and Softmax Regression algorithms in MLP architecture (Informatica Machine Learning
 Made a classifier for Support and Maintenance team that some issue is going to escalate or not in future. (Training data contains client
attributes and email exchanged between client and support team. Got 93% accuracy on test data.)
 Plugged in weka (Machine Learning Library) to Informatica MLP architecture.
 Characterized performance of various classifiers and library on given dataset.
 Added support for Ensemble methods and Defined interfaces for Artificial Data Scientist.

Worked as Website Development Coordinator and performed as an Anchor for Cultural Events in Tarangini organized by
Engineering College Ajmer in the year 2011 (Inter College Techno-Cultural Festival).
Participated in various workshops like Ethical hacking in March 2011(Techdefence, IIT Bombay and SecureSys) and in
November 2010(SecureSys Technologies, India), Basic Robotics in December 2009(Electronics For You, MBM Jodhpur).
Selected as President in D.A.V. Sr. Secondary School, 2008.

Movie Rating Prediction Using Collaborative Filtering (October - December 2013)
Co-Developer (Team of 4)
 An application, which uses Movielens data set to create a movie rating prediction system. The system will predict whether a user has
seen the movie or not, and if the prediction results are affirmative for a user, the system also predicts the rating the user is likely to
 Assisted in requirement analysis and compiling statement of purpose for the project.
 Assisted in implementing various Machine Learning algorithms.
 Developed User Interface for the project.
 Solved using Matrix Factorization
 Solved using k-Nearest Neighbors(Similarity calculation, rating estimation, optimal value of k) with MAE ranges between 0.68-0.74
Android Application: Sawari Hamari (January 2014 – April 2014)
Co-Developer (Team of 2)
 Implementation an Android app for IIT Kanpur students and faculties to share auto/taxi while travelling outside IITK.
 Google Cloud Messaging to share details of cab/taxi to other users.
 Google App engine as cloud and Google Geolocation APIs to predict current location and maps to nearest request.
Virtual Classroom System (December 2010- April 2011)
Co-Developer (Team of 4)
 Aims to promote a greater count of students to splurge into the field of Education. It integrates the benefits of a physical classroom
with the convenience of a ‘no-physical-bar’ virtual learning environment, minus the commuting hazards and expenses.
 Provides a means of collaborative learning for the students.
 Providing easy-to-access web based service which can give management an effective means of managing all resources.
 Faculties can evaluate test sheets, schedule tests and perform related activities online
Web Harvester (January 2012 – May 2012)
Co-Developer (Team of 3)
 Extract highly ranked pages of website and store them locally.
 Use collaboration of different search engine result and rank pages depends on their listing in the search engine.
 Find relevant content across different pages.
Unintentional advertising : Buzzer (January 2013)
Co-Developer (Team of 4)
 This app crawls over internet and finds out what the "common" people are talking about some product or personnel. It finds the
sentiment of people about it/him and then displays this sentiment location wise on world map.
Machine Learning, Programming, Big data analytics, Software Architecture.

Blog : http://abhishekvj.blogspot.in/
LinkedIn Profile : https://www.linkedin.com/pub/abhishek-vijayvargia/28/520/216


Programming Skills: R, C, C++, JAVA, C#
Technical Tools: Weka, RStudio, Netbeans, Eclipse, GNU Plot, Latex, Visual Studio.
Database Packages: MySQL, MS Sql Server.
Web Development: HTML, XML, ASP.NET 3.5, JSP, Servlet.
Mobile Development: Android SDK, J2ME
Operating System: Ubuntu, Windows XP/Vista/7
Other : Microsoft Office 2003/07/10, Apache Tomcat 6

 Teaching Assistant for the course “Fundamentals Of Computing” (July 2013 to June 2014)
Assisted first year students with basic programming in C and graded lab assignment.
 Teaching Assistant for DUGC (Department under graduate courses) (July 2014 to present)


Machine Learning Techniques
Mathematics for Machine Learning
Software Architecture
Mathematics for Computer Science

 Design and Analysis of Algorithms
 Randomized Algorithms
 Advanced Graph Algorithms.

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