Data Engineering

Postgraduate data science candidate seeking a challenging role in the field of data science and ways to innovate where I can leverage my technical, analytical skills and deliver high performance that helps our clients to continue to succeed in their business

2016-2017 Post Graduate Program in Big-Data & Analytics (July’17 Pass out)

(previous CGPA: 7)

S.P. Jain School of Global Management, Mumbai

2009-2012 Bachelor of Engineering in Electronics and Communication (CGPA: 7.16)

MEPCO Schlenk Engineering College, Sivakasi, Tamilnadu

2005-2008 Diploma in Electronics and Communication Engineering (Gold Medalist-93.42%)

Ayya Nadar Janaki Ammal Polytechnic College, Sivakasi, Tamilnadu

2002-2003 SSLC, PACR Girls Higher Secondary School, Rajapalayam, Tamilnadu (91.8%)

Big Data Technologies

Statistics, R, MATLAB, Octave, Python, Machine Learning, Data Mining, Tableau, SAS, SQL, Recommender Systems, Natural Language Processing (NLP), Data Structures

Others

C Language

Current Project:

I am currently doing “Instacart – Market Basket Analysis” from kaggle

using Association Rules, Pattern matching, Data mining, NLP, Machine Learning

PG Project Tile: Mobile Phone Recommender System

Software Used: R, Python, Machine Learning Algorithms, NLP, Data Mining

The primary goal of the project is to build recommender systems for users to choose the best mobile phone available in the market.

Filtering approaches are used for collecting and analyzing large volume of data

(~ 4 million records) on user’s ratings, reviews, the popularity of the mobile phones, and other miscellaneous features

Machine Learning Algorithms are used to build models on user’s data to recommend cell phones that are similar to what a particular user prefers in the past, present and similar decisions made by other users

Text mining and NLP used to identify the information about the product and will be helpful to next buyers and be able to detect the emotional polarity of the subject the human is talking about from the way the text pattern is presented whether the human is angry, sad or happy.

UG Project Tile: Multilingual Speaker Identification System using voice biometrics

Software Used: MATLAB, Gold Wave, C Language

The objective of this project is to identify an unknown speaker from the finite set of registered speakers in a multilingual environment.

When a speaker speaks, his/her analog speech signals is converted into digital multi-dimensional speech frames, and speech model is created for that speaker using Matlab programming.

Speech model pattern is compared against multiple speech vector patterns using optimum energy frame algorithm using C which intern provides the most accurate match of the speaker

Got selected for presentation at the International Conference on computing and control engineering, ICCCE-2012 in Chennai

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