Siddharth Milan Jasani
Boston, MA | 857-313-8354 | jasani.s@husky.neu.edu
EDUCATION
Northeastern University
Master of Science in Information Systems Program
Boston, MA
December 2015
Courses: Advance Database Management, Data Sciences System Engineering Model, Engineering Big Data Systems,
Data Warehouse and Business Intelligence, Application Engineering Development, Database Management Systems,
Web Development Tools and Methods, and Business Analysis
University Of Mumbai
Bachelor of Engineering in Information Technology
TECHNICAL KNOWLEDGE
Programming Languages: R programming, Java, C++, HTML/HTML5, CSS, XML, JQuery, AJAX
Web Technologies:
DW/BI Tools:
Servlet, Spring MVC Framework, Hibernate, JSP
Databases:
Big Data Technologies:
Functional Skills:
Tableau, QlikSense, SSAS, SSIS, Informatica Cloud, Talend Data Integration Tool, Oracle BI
Publisher and Reporting Tool, Talend Data Quality and MDM Tool, IBM Cast Iron Integration Studio
Oracle, MySQL, MS SQL Server, MS Excel, Neo4j, DB2
Hadoop, Map Reduce, MongoDB, Hive, Hbase, Pig, Cassandra, Mahout
Project Management, SDLC, Requirement Analysis, Agile methodology
PROFESSIONAL EXPERIENCE
Business Systems Analyst Intern, PTC Inc. Needham, MA
May 2014 - December 2014
Ø Developed interactive reports and dashboards on OBIEE, replacing manual report creation in MS Excel by 75%
Ø Designed and build an Integration service using Cast Iron Tool there-by automating the process of loading data into the
SFDC cloud at runtime, without intervene of any user
Ø Performed Data Cleaning, Data Profiling and hence ETL operations to migrate large data sets from CARDS to Integrity
(ALM and Systems Engineering software that accelerates product innovation) using Informatica Cloud and SFDC
Ø Developed a simulation ‘Monitoring Vending Machines’ using Internet of Things (IOT) concept and Thingworx
Composer 5
ACADEMIC PROJECTS
Data Visualization and Analysis using AdventureWorks/Contoso Datawarehouse
February 2015
Ø Integrated large amount of data from AdventureWorks DW 2014 using Talend Integration Tool and SSIS to MSSQL 2014
and MySQL by performing complex mapping between different fields and transformations between data.
Ø Created interactive dashboards for the retail industry in Tableau and QlikSense using inner join between attributes
Ø Developed dynamic dashboards from OLAP data cubes using PowerPivot, PowerMap, PowerBI in MS Excel for
performing Data Visualization
Data Quality and Data Modelling for School Datawarehouse
March 2015
Ø Modeled a Data Warehouse on School Management System, created Multi-Dimensional Schema having Facts and
Dimension tables using SSIS, also developed data cubes using crucial information to perform data analysis using SSAS
Ø Used Talend Open Studio for Data Quality to analyze all the values in the database and segregated inaccurate and accurate
values using Tmap component of TOS for Data Integration and stored them separately in MySQL database.
Ø Used Talend MDM tool for defining and managing Master data for retail industry, created a common Web-Interface for
super users to create/update master data.
Investigative and Exploratory Analysis using R Programming
Ø Studied in-depth relationships between different variables like Profits, Products, States and hence visualized the
contributing factor in them using R libraries
Ø Implemented Decision Tree Algorithm and Predictive Analysis to help in Decision Making for inventory of the store
Big Data Analysis on National Airline Data Set
Ø Designed a Single Node Hadoop distributed file system and integrated Pig, Hive, Hbase and Mahout on top of it.
Ø Recommended good on time flights to users using Mahout's Recommender Engine with HDFS.
Ø Performed map reduce jobs on 3.6Gb data to understand some valuable insights about the airline performance
CO-CURRICULAR ACTIVITIES
Ø Worked as a Graduate Teaching Assistant for Data Warehousing and Data Integration course and mentored students
Ø Participated in HackBeanPot 2015, a Hackathon where developed a web portal using Spring MVC and Hibernate
technologies for doctors and engineers to communicate and share important information
May 2015
July 2015
Ø Investigated Super Store Sales Data Set using Association Rule Mining and K-Nearest Neighbor in R to predict different
patterns in their Sales and Profits
Mumbai, India
June 2013