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Gitika Aggarwal ADDRESS : Flat# 102, Divya Comforts, Krishnappa Gardens, Near Sagar Apollo Hospital, Bangalore-560041, Karnataka, INDIA. TELEPHONE : + 91 9880 606 332 Email Webpage : gitika [at] students [dot] iiit [dot] net : http://students.iiit.ac.in/~gitika Objective It is my ambition to be part of the research community of a good school and be involved in exciting and novel research in the areas of Distributed Systems and Data Management. Research Interests • • • Distributed Systems Data Management Machine Learning Education B.Tech. Computer Science and Engineering (Honors in Data Engineering) International Institute of Information Technology, Hyderabad (2004) Senior Secondary Gautami Academy Junior College (2000) Secondary St. Ann’s High School (1998) • • • CGPA: 9.05/10.0 Aggr: 91.0% Aggr: 86.0% Achievements • • • • Awarded for scoring the Highest Overall Percentage – Secondary school, 1998. Recipient of the National Merit Scholarship for the Secondary State Examinations – awarded by the National Government to the top 10% scorers in every county. Secured 78th position among over 32,000 students in the All India Entrance Examination for IIIT - Hyderabad, 2000. Recipient of the Dean’s List award(awarded to top 10% of the class) during my undergraduate study, for the following semesters – Spring 2001, Spring 2002, Fall 2003, Spring 2003, Spring 2004 1 Publications • BUDDIES: Bus Driven Data Dissemination System Kamalakar Karlapalem, Gitika Aggarwal, Krishnaveni Budati Proceedings of the 10th International Conference on High Performance Computing(HiPC), 2003, Hyderabad, INDIA. (Received Best Poster Presentation Award) URL : http://students.iiit.ac.in/~gitika/publications/BUDDDIESPoster.pdf Internships and Teaching Assistantships • • Summer Internship at CMC Limited, Hyderabad, India. I was one of the 11 students of the 138 students from my class who were chosen for the internship. Teaching Assistant for the course ' Data Structures and Algorithms' , Spring 2004. Instructor : Dr. Madhu Mutyam (madhu_mutyam [at] iiit [dot] net ) Experience in the Industry Position Held Nature of Work Name of Organization Period Support Engineer Database Administrator Oracle Corporation (India) 06/2004 - To date Skill Set Programming Languages and Environments Programming Tools Operating Systems C, C++, Java, Perl OpenGL, VRML , Matlab, Qt Windows 98/ME/2000/XP, Linux Honors Stream Courses and Content Introduction to Database Management Systems (Spring 2002) Distributed Database Management Systems (Fall 2002) Data Warehousing and Data Mining (Spring 2003) Entity-relationship model, Relational Model, Relational Algebra and Calculus, Database Design and Normalization, Indexing Schemes, Integrity, Concurrency control,Transaction Management,Recovery,Query Processing, SQL. Architectures, Distributed Database Design, Distribution Transparency,Data Replication, Query Decomposition and Optimization, Distributed Transaction Management, Distributed Concurrency Control, Reliability RDBMS Vs Data Warehouses, Data Warehouse schemas, Applications of Data Warehouses, Sources of data, Problems with data, Data Cleaning, Data pre-processing, Clustering , Classification, Decision trees, Association Rule Mining. 2 Select Elective Courses Computer Graphics, Pattern Recognition, Performance Evaluation of Computer Systems, Numerical Methods for Computer Systems, Finite Element Methods Undergraduate Coursework Computer Programming, Data Structures, Computer Organization, Artificial Intelligence, Analog and Digital Circuits, Operating Systems, Computer Networks, Introduction to Databases, Discrete Mathematics, Signal Processing, Principles of Programming Languages, Programming Language Processors, Theory of Computation, Algorithms, Software Engineering. Major Projects • BUDDIES - Bus Driven Data Dissemination System (Jan 2003 – April 2004) Project Guide: Dr. Kamalakar Karlapalem, Dr.P.Krishna Reddy Recently, with the dramatic improvements in global interconnectivity due to the Internet, the web community has been witnessing a boom in the number and variety of dataintensive applications. However, a simultaneous explosion in the user-base for these applications has given rise to major scalability and reliability issues w.r.t the network as well as the servers that host these applications. To address these issues, past research has yielded a number of systems like those based on server-side scheduling, differentiated services, publish-subscribe systems. BUDDIES was developed with a similar aim in mind. BUDDIES combines the ideas of pull-based data-dissemination with those of pushbased data-dissemination; content-based routing, multicast and QoS. Comprehensive experimentation has demonstrated that BUDDIES reduces network traffic and server-side computations at the cost of a reasonable increase in response-time. Preliminary results of the same were compiled into a paper that won the Best Poster Presentation award at the International Conference on High Performance Computing (HiPC) - 2003 • Design and Implementation of Visualization modules for the Indic Data Miner (Data Mining toolkit (Spring 2004) Project Guide: Dr. Kamalakar Karlapalem The project involved development of the visualization modules for Clustering and Classification algorithms in Indic Data Miner, a Data Mining toolkit that is being developed at the CDE. The aim of the Indic Data Miner is to support the cutting-edge algorithms for association rules, clustering and classification. I also implemented the BIRCH clustering algorithm and integrated it with the toolkit. Course Projects • Design and Development of a Distributed Database System Course: Distributed Database Management Systems (Fall 2002) Instructor: Dr. Kamalakar Karlapalem 3 A Distributed Database Management System built on top of the MySQL DBMS, to handle distributed query processing, query optimization and transaction management, with fragmentation transparency. The DDBMS was designed to handle simple select, insert, update and delete SQL queries. • A data mining exercise using WEKA, a Data Mining toolkit Course: Data Warehousing and Data Mining(Spring 2003) Instructor: Dr. Kamalakar Karlapalem The project involved extracting useful information from a real-life tennis dataset using WEKA, a toolkit providing a collection of machine learning algorithms for data-mining tasks. It included the application of data pre-processing, classification, clustering and association-rule mining algorithms. The project was revelatory in terms of exposing the degree of thought and effort that goes into carrying out the data mining tasks such as data cleaning, determining the appropriate data mining algorithm (depending on the nature of the data), interpreting the final results. • Design and Development of a Database System Course: Introduction to Database Management Systems(Spring 2002) Instructor: Dr. Kamalakar Karlapalem The project involved planning and designing a Relational Database System using MySQL for the Forest Department of Andhra Pradesh(County). The objective of the project was to get a hands-on experience on the various stages of building a relational database for a real world environment - designing the ER Model, converting it to a Relational Model, normalizing it and finally developing end-user applications. • Term Paper on Genetic Algorithms and Genetic Programming Course: Machine Learning(Fall 2003) Instructor: Dr. C.V. Jawahar The need to create extremely robust and flexible systems is now driving many researchers to explore the logics behind the most robust systems of all, Nature. Recent years have seen a growing interest in the study of methods like Neural Networks, Genetic Algorithms, Simulated Annealing that are inspired from biological processes and are believed to be highly general and capable of solving problems for which little is known. The aim of this project was to understand what are Genetic Algorithms and Genetic Programming and get a fair idea of the ongoing research in the same Conferences attended 10th International Conference on High Performance Computing (HiPC -2003), Hyderabad, INDIA. 4