Manasi Burange
*** ******** **, **********, **-**604 475-***-****
*************@*****.*** linkedin.com/in/burangemanasi github.com/burangemanasi
Actively seeking full-time job opportunities for Spring 2019 to enhance personal skills and to learn the practical approach of the theories learnt so far. Intend to work in the field of Database Management, Bigdata Analytics, Cloud Computing or Software Development.
EDUCATION
M.S., Computer Science Jan 2017–Dec 2018
University of Bridgeport, CT GPA: 3.54/4.00
B.E., Computer Engineering Aug 2011–May 2015
University of Pune, India First Class
COURSES OF INTEREST
Bigdata Systems and Analysis, Hadoop and NOSQL Database, Advanced Databases, Cloud Computing with AWS, Network Security, Object Oriented Programming using Design Patterns, Data Structures and Algorithms
TECHNICAL SKILLS
Languages: C, C++, Java, R, SQL, HTML5, CSS3, Python, Scala, Shell, JavaScript
Development Software: Eclipse, Visual Studio, VMware, IntelliJ, Tableau, MS-Office
Cloud Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS)
Big Data Technologies (Cloudera/ Hortonworks): Hadoop, Hive, Pig, Spark, MapReduce, Yarn, Oozie, Sqoop, Zookeeper, Flume, Kafka, Storm
Databases: SQL Server, Oracle 11g/12c, Cassandra, ArangoDB, HBase, MongoDB
PROFESSIONAL EXPERIENCE
Associate Analyst, Tech Mahindra, India Nov 2015–Jan 2016
Performed analysis over on-going strength and size of resource, revenue generated, offered policies for the banks participating in Asian Commodities Foreign Exchange Facility (ACFF 2016) & Asian Trade Service & Facility (ATSF 2016).
The data was received from an American financial research analytics client in the form of raw file. An ETL spark process was responsible to parse the raw CSV file and feed it to Hive tables for easier analysis using HiveQL.
The results were later visualized in Tableau. The reports helped in understanding of ranks and ratings of Banks.
ACADEMIC PROJECTS
MongoDB Chat Application MongoDB, JavaScript, HTML Aug 2018–Dec 2018
Developed a Chat Application which has a client side and server side.
Client side includes HTML code that acts as frontend of the application.
Server side is written in JavaScript which is responsible for connecting the frontend and the database.
Used MongoDB to store the data(chats) of the application.
Data Analysis using multi-model NoSQL DB ArangoDB, Eclipse, Arangosh, Java, AQL Aug 2018–Dec 2018
Developed a Graph Based and Document based data model in ArangoDB.
The model helped to analyse the dataset “Game of Thrones”. ArangoDB interface was used to display the relation between the characters in a Graph representation.
Executed AQL queries over the data set.
Hazardous Air Pollutants MapReduce, Hive, Spark, JAVA, SQL, Big Query, Tableau Jan 2018–May 2018
Performed an analysis on several aspects of the USA pollution from 1990-2015
Visualized comparative performance analysis of MR, Spark, Hive and Big Query using Tableau.
The comparative analysis helped me come up with better solutions in execution times.
Electronic Bidding System WampServer, HTML, CSS, PHP, MySQL, Google Cloud Jan 2018–Apr 2018
An online bidding system to bid available electronic products in MySQL database.
Implemented a member registration portal where a member can add products to the database.
Application also supported selling of products to the highest bidder amongst all the bids placed.
PUBLICATIONS & SEMINARS
Future Internet – Internet of Things, ASEE Conference, UMass Lowell, Boston 2017
Smart Parking Allotment System Using Android Application, International Journal of Engineering and Management Research, 2015 (Ref No: IJEMR/V-5/I-2/19/2015).