Anup Dudani is a software engineer and data analyst based in San Jose, CA. He holds an MS in Software Engineering from San Jose State University and a BE in Computer Science and Engineering from Amravati University in India. His technical skills include Java, Python, R, Hadoop, Spark, and AWS. He has work experience developing distributed RESTful applications and analyzing public datasets. His projects include developing prototype applications for eBay and Yelp and analyzing NYC subway ridership data.

1. Anup Dudani
San Jose, CA 95112
(408)-917-8435 | anup.dudani@sjsu.edu | linkedin.com/in/anupdudani | github.com/anup5889
EDUCATION:
MS in Software Engineering (Enterprise Software Engineering), May 2016, GPA: 3.53/4
San Jose State University, San Jose, CA
Data Analyst NanoDegree, January 2016
Udacity (online)
B.E. in Computer Science and Engineering, May 2013, GPA: 3.62/4
Amravati University, Amravati, India
Relevant Courses: Intro to Data Science(Udacity) | Introduction to Big Data with Apache Spark (edX)| Enterprise Software
Platform | Enterprise Distributed Systems |Enterprise Application Development | Business Intelligence | Software Systems
Overview |
TECHNICAL QUALIFICATION:
 Programming Languages: Java, C, C++
 Big Data & Data Science: Python, R, Statistics, Tableau, Data mining, Machine Learning, Hadoop, Apache Spark,
MapReduce, MongoDB
 Web: JavaScript, HTML5, CSS, Restful API, node.js, Ajax
 Operating Systems: Linux, MacOS, Windows
 Database: SQL Server, Oracle, IBM DB2
 Tools: Eclipse, Amazon Web Services EC2, IBM Websphere, Tomcat, Git, IBM Rational Rose, BlueJ
 Learning: C#, JUNIT, UML, Agile, Scrum, Tableau
PROJECTS:
eBay (Prototype) | San Jose State University Fall 2014
 Collaborated with team of 6.
 Developed a distributed 3-tier RESTful eBay application in NodeJS and MySQL.
 Accounted for Buy/Sell, Auction/Bidding and simple marketplace operations for products and users.
 Designed web pages using HTML5, CSS3 and BootStrap Framework.
 Achieved performance tuning using Connection pooling, Redis, Data denormalization and prepared statements. Also,
analyzed the performance using jMeter.
Yelp (Prototype) | San Jose State University Fall 2014
 Independently designed a RESTful YELP application in both NodeJS and JAX-WS with MySQL.
 Implemented CRUD features for categories, elements and user reviews in the system.
 Enhanced the throughput by implementing Database connection pooling.
SolutionBox | San Jose State University Fall 2014
 Collaborated with Team of 4.
 A Web based application, which fetches top-rated answers using StackOverFlow API in a sorted format based on the
relevance of the results for a user's query.
 Implemented real time analysis of the data using Google Charts of sorted/unsorted data.
 Generated results by this application will be a set of most accurate results, thus time saved.
Analyzing the NYC Subway Dataset | Udacity Data Analyst Nanodegree Summer 2015
 Individually working on analyzing publicly available dataset on subway ridership and New York weather conditions
using New York MTA website and weather underground API
 Analyzing the data sets using popular data analytics python packages like pandas, numpy
 Working on drawing some charts and graphics that will communicate my findings
Online College Magazine | IBM The Great Mind Challenge | Side Project December 2011
 Collaborated with a team of 3.
 Developed a web application, which provides traditional college magazine services to the students.
 Completed up to Software Requirement Specification, which includes information collection and designing phase.
 Had hands on experience of various IBM tools such as IBM DB2, IBM WebSphere and Rational Rose.