1. KAVINYA RAJENDRAN
www.linkedin.com/in/kavinyarajendran
+1(480)738-8715 1265 E. University Dr., Apt 1004, Tempe, AZ-85281 krajend2@asu.edu
SUMMARY
Computer Science graduate student, specializing in Big Data Systems. Developed in-depth knowledge and interest towards database
systems, data mining, web mining and big data systems. Seeking for full-time opportunities in Data Science or Data Engineering.
EDUCATIONAL QUALIFICATION
Master of Computer Science (Big Data Systems) Arizona State University GPA: 3.72/4.0 May ’17
BE in Computer Science Anna University GPA: 7.66/10.0 May ’13
INDUSTRIAL EXPOSURE
Summer Technology Intern, Bank of America, New York, United States Jun ’16 – Aug ’16
• Developed analytical application to monitor and analyze performance of distributed systems in a true object-oriented architecture.
• Evaluated various cost invested in grid utilization across various schedulers on different modules over time.
• Designed and developed an Oracle database schema to support grid computation and performance analysis.
Senior Business Intelligence Engineer Level I, Global Analytics Pvt Ltd, Chennai, India Jun ’13 – Jul ’15
• Delivered analytical results in frauds, bankruptcy and customer profitability, with a strong understanding of business flow and
knowledge on data distribution. Used PYTHON to visually represent these data and automate them for daily basis.
• Scrutinized business portfolio and marketing trends to make business decisions.
• Projected analytical results as an interactive data visualization using SAP Business Object tools.
Intern, Cognizant, Chennai, India Dec ’12 – Mar ’13
• Designed database and developed an application to track the geo-location of vehicle and predict the destination time.
ACADEMIC PROJECTS
Enhancing features of Minibase Database Implementations Jan ’16 – Apr ’16
• Implemented LIFO, FIFO and LRU-K page replacement algorithms for Buffer Manager of the system.
• Developed a lightning fast Join algorithm that uses uniform sampling in query selectivity of query optimizer for multiple predicates.
Atomicity for Single and Multi-Threaded Transactional Systems Oct ’15 – Nov ’15
• Implemented All-or-Nothing and Before-or-After atomicity using logging and version-control protocols to support transactions.
Classification of Bio-Medical Image Dataset Oct ’15 – Nov ’15
• Performed data pre-processing, feature set extraction using ranker algorithms and built logistic regression model to categorize data.
• Compared model precision and recall with other algorithm such as decision tree, random forest, naive bayes, bagging and boosting.
Forecasting popularity of music albums using sentiments Sep ’15 – Nov ’15
• Scrapped data with Selenium and performed data cleaning on YouTube comments using machine learning algorithms and NLTK.
• Built a model to predict classification for popularity of music albums by mining hidden user sentiments using Probabilistic Latent
Sentiment Analysis.
Word count using Hadoop Map Reduce Sep ’15 – Oct ’15
• Implemented mapper, reducer and combiner programs on Hadoop Distributed File System using python.
A secure attribute based access to personal health records on cloud using proxy re-encryption Jan ’13 – May ’13
• Developed a web application in JAVA to track medical history and securely store them using encryption on AES algorithm.
• Deployed the web application on Amazon EC2 cloud to support scalability.
University Exam Result Analysis System Dec ’11 – Mar ’12
• Launched an interactive web application to analyze student grades, rank students across various criteria and provide an interactive
visualization using HTML, CSS, D3 Javascript, PHP and JQuery.
• Implemented Authentication protocol for different level of access to the system.
TECHNICAL SKILLS
Operating Systems : MAC OS X, Windows and Linux Languages : Python, R, JAVA, C, C++, PHP, HTML, JS, CSS, JQuery
Frameworks : Django, Spring MVC, Hibernate Databases : MySQL, PostgreSQL, Oracle, Sybase and MongoDB
Tools/IDE : Weka, Git, JIRA, Eclipse, PyCharm, R Studio, PgAdmin, Mysql Workbench, NetBeans, Dreamweaver, SAP BO.
ACHIEVEMENTS
• Published: “Resource Scheduling in Cloud using Bee Algorithm for Heterogeneous Environment”, IOSRJCE, ISSN: 2278-0661
Volume 2, Issue 4, PP 15-16, July-Aug. 2012.