Venkata Kedarnath Pakala M ob: +1-631-***-****

E mail: k ac4abq@r.postjobfree.com 7 00 Health Sc Dr, Stony Brook University, New york h ttps://www.linkedin.com/in/kedarnath-pakala h ttps://github.com/venkatkedar

Education

Stony Brook University J an 2017 - May 2018

Masters in Computer Science GPA (3.3/4)

Courses: Operating Systems, Analysis of Algorithms, Big Data Analytics, Natural Language Processing, Machine Learning, Data Science Fundamentals, Adv. project under Prof. I.V. Ramakrishnan

SASTRA University, Thanjavur, India June 2004 - June 2008 Bachelor’s in Computer Science & Engineering GPA(9.03/10) Professional Experience

Senior Software Developer, Persistent Systems Ltd, India (Client : WellsFargo Bank) Feb 2015 - Oct 2016

● Designed and developed critical application - loosely coupled, microservices based and asynchronous(Event driven architecture)

● Followed a TDD with proper unit tests using Mockito framework. IT Analyst/Software Developer, Tata Consultancy Services Ltd, India (Client: CenturyLink) Apr 2014 - Jan 2015

● Developed R ESTful webservices & UI (h ttps://www.centurylink.com/small-business/)

● Integrated payment system with third party payment vendors using SOAP webservices.

● Implemented security features using S pring Security with Oauth 2 IT Analyst/Software Developer, Tata Consultancy Services Ltd, India (Client: British Telecom) M ay 2011 - Mar 2014

● Developed REST APIs and UI

● Developed various scheduling and m ulti-threading modules

● Designed and developed features of high availability System Engineer, Tata Consultancy Services Ltd, India J an 2009 - May 2011

● Developed a pplications on JSR 168/286 portlets and demonstrated their use to various clients. Created reusable components for telecom projects that were reused in different applications. Technical Skills

Programming languages : Java, Python,MATLAB, HTML, CSS, Javascript, Jquery, SQL Frameworks: AngularJS, Spring,Spring boot, Spring security, Spring Integration, Hibernate, JAXRS, JAXWS,JTA,JMS, IBM-MQ, Jboss 6, portals, Liferay, Spark, Hive, Oozie, Kafka, NLTK, AWS

Academic Projects

● Cricket Match Prediction Fall 2017

Course : Data Science Fundamentals, Guide - Dr. Steven S Skiena

Over-by-Over prediction of the match outcome using various classification models and their evaluations

● Zillow Prize - Zillow Home Value Prediction Fall 2017 Course : Data Science Fundamentals, Guide - Dr. Steven S Skiena

Data Analysis on Kaggle’s Real Estate data using regression models to predict log error close to those given by zillow

● Analyzing Power Infrastructure Shortage Using Night Time Satellite Images Fall 2017 Course : Big Data Analytics, Guide - Dr. Andrew Schwartz

Using high resolution satellite images of earth at night and socio-economic data, predict the electricity shortage in a region

● Sepsis Early Prediction S ummer 2017

Course : Adv Project, Guide - Dr. I.V. Ramakrishnan

Using medical data, give an early prediction of a condition called sepsis shock

● Dialog Assistant S ummer 2017

Course : Adv Project, Guide - Dr. I.V. Ramakrishnan

Designed voice Interactive system that captures user’s speech and uses NLP to comprehend user’s eating habits.

● Food Rating Prediction S pring 2017

Course : Natural Language Processing, Guide - Dr. Niranjan Balasubramanian

Produce a rating for food items at various restaurants based on sentiment analysis of the food reviews on yelp dataset Certifications

● Sun Certified Java Professional 5.0 Certified on June 5 2009

● Oracle Certified Professional Developer of Web services certified on Jan 12, 2012

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