SURAJ V VIDYADARAN

*** . ***** **** **** *** . Apt E5 . Bryn Mawr . PA . 19010

http://www.datascience-zing.com https://www.linkedin.com/in/surajvv12 610-***-****) acwaqc@r.postjobfree.com BUSINESS EXPERIENCE

Business Intelligence System Analyst Intern May 2016-August 2016

Designed and managed applications using Hyperion 9 BI+

Performed installation and configuration of Oracle Hyperion EPM System 11.1.2.4

Involved in the design and development of BSO cubes for data warehousing using Oracle Hyperion Essbase. Integratus Technologies, Sales and Marketing Analyst April 2013–July 2014

● Data analysis and generation of sales and marketing reports in MS Excel 2007.

● Creation of sales and marketing strategy for clients based on analysis of market trends and sales leads.

● Acquisition of data from multiple sources using SQL queries for creating and management of sales databases in MS SQL Server 2005.

● Communication of analysis reports to sales and marketing team and top management. ACADEMIC PROJECTS

Sentiment Analysis and Mining of Trip advisor using R and Shiny and MySQL Graduate final project

● Designed and developed a sentiment analysis web application to analyze travel related reviews from TripAdvisor.

● Performed data collection using web scraping techniques, data cleaning, data manipulation, text mining and sentiment analysis in R on 10 GB of Trip Advisor reviews data.

● Data munging performed by collection and integration of data from multiple sources including social media and similar portals and integration into a central database server in MySQL. Data analysis of QVC sales and marketing data using R, ggplot2 and Shiny Temple University Analytics Challenge

● Analyzed 5 GB sales and marketing data of QVC, a multinational corporation specialized in televised home shopping, to determine the effectiveness of various marketing campaigns and TV Hosts.

● Developed a regression model with 89% accuracy to predict the future impact of marketing campaigns on the sales of various products.

● Visualized the impact of marketing campaigns and hosts on product sales using ggplot and shiny. Product search relevance for Home Depot data using Python Kaggle Competition, Group project

● Improvement of product keyword search relevance score of products in Home Depot, an e-commerce portal.

● Performed data manipulation to identify missing keywords, split the words into strings and create a vector.

● Applied cosine similarity using Python scripting, to identify similarity between string vectors to generate relevance score and improve existing score by 20%.

EDUCATION

Temple University May 2016

Masters, Computer Science (Major – Data Science)

Anna University May 2009

Bachelors in Technology, Information Technology

CERTIFICATIONS & TECHNICAL SKILLS

Certifications: Data Scientist’s toolbox, Introduction to R, Intermediate R, Data Science certification in R and Hadoop, Data Visualization in R using ggvis

Programming and DB: R,Python, Java, HTML, MySQL,MS SQL Server 2005 Reporting /BI Tools: Shiny,ggplot2,ggvis, Tableau, D3.js Big Data Tools:

OLAP Tools:

Hadoop, MapReduce, Spark

Hyperion Essbase 11.1.2.4

Statistical tools : R studio, Weka, Rapid Miner, MS Excel