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https://github.com/puneetsl/resume

My Resume on GitHub
https://github.com/puneetsl/resume

Last synced: about 1 month ago
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My Resume on GitHub

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README

        

Puneet Singh Ludu
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Programming
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* Advanced knowledge of __Java__, C, __Perl__, HTML

* Good knowledge of C++, C#, Python, __PigLatin__

* Basics of __PHP__, __jQuery__, JavaScript, CSS, Matlab

Skills
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* Advanced algorithms and data structures

* Distributed computing (Apache Hadoop, Apache Pig, Apache Spark, PredictionIO)

* I know: Git, Eclipse, Sublime, Svn. (and many other tools)

University projects
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* Inferring gender of a Twitter user using celebrities it follows (Java, Perl, Google API, Apache Pig)

* Quena- An automatic question answering system (Java, Apache Solr, Stanford NER, Stanford POS tagger, web crawler)

* Clustering of songs files according to mood derived from signals and lyrics (Matlab, Perl, C#)

* English to Hindi Translation and Transliteration (C, Gambas) [Natural Language Processing]

* PSLFS – Virtual File system, based on the K-Ary Data Structure with a Command Line Interface (C)

* Amazon Dynamo algorithm- replicated key-value storage (Distributed systems, Java)

Personal projects
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* [Memodiction](https://play.google.com/store/apps/details?id=me.puneetsingh.learn1) - An Android app that lets you learn and revise words to build your vocabulary intelligently
* Tweetiments.com - Sentiment Analysis of Twitter data (Perl, PHP)

* HappyOrSad - Perl script to know mood of text and lyrics (https://github.com/puneetsl/HappyOrSad)

* ShortCleaner - A JAVA library to clean tweets for consuming it for various kinds of analytics.

* jTextBrew - A JAVA library for fuzzy string matching, based on TextBrew algorithm by Chris Brew.
* Reviewed 5 chapters of "Apache Solr Essentials" (http://goo.gl/Q7h3mW)

Conferences and Publications
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* "[Inferring latent attributes of an Indian Twitter user using celebrities and class influencers](http://dl.acm.org/citation.cfm?id=2806657&preflayout=tabs)", ACM Hypertext 2015
* "Architecture for Automated Tagging and Clustering of Song Files According to Mood", IJCSI, 2010

* "Inferring gender of a Twitter user using celebrities it follows", CSE Dept, University at Buffalo, 2014

* "PSLFS: Command Line Interpreter and Virtual File System", ICCC, 2008.

Experience
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NLP Engineer, April 2015 - Present, Factset Research Systems – New York City

- Duplicate document identification _(Java, Shell Scripts)_
- Used Shingling and Vector Space Model algorithms to detect duplicate documents from a stream of documents.
- Statistical Machine Translation _(Moses, Python)_
- Building a language translation engine similar to google translate, for Polish, based on principles of statistical machine translation.
- The cleaning, tokenization, stemming and other language processing is done by using nltk and other NLP libraries in python.
- Earning and Stock Correlation using Social Media Sentiments _(Python, Java, PredictionIO)_
- Exploratory project to find correlation between social media sentiments with earnings and stocks of a company.

Research Engineer, July 2011 - July 2013, Innovation Labs, TATA Consultancy Services – Delhi

- Time Series Analysis on Big Data : _(Technology and Tools used: Java, Python, Perl, Shell Scripts, Rapidminer)_

* Worked on a research project involving multivariate time series analysis of car sensor data.

* Devised an algorithm based on Shape Context for finding frequently occurring patterns and events, with as good results as SAX, DTW etc. with 7% better results in the particular domain of car sensors.

- Data Harmonization Framework (DHF) : _(Technology and Tools used: Java, Apache Pig, XML)_

* Implemented an ETL framework that exploits power of map-reduce and big-databases to fuse incongruous enterprise data from disparate sources in near real time.

Developer, December 2010 - June 2011,ILP training centre, TATA Consultancy Services – Trivandrum

* Trainee Evaluation System: Lead team of two, into the development of 'Trainee Evaluation System' as a part of Moodle plugin, deployed in TCS Trivandrum training centre. _(PHP, MySql, jQuery)_

* Resource planning and Scheduling system: Developed solution for managing infrastructure resources and scheduling lectures. _(PHP, MySql)_

Education
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Master of Science in Computer Science; State University of New
York, Buffalo GPA: 3.482, 2014


Bachelor of Technology in Computer Science; Jaypee Institute of information Technology, Noida,
2010

Research Interests
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* Time Series Analysis

* Music Information Retrieval

* Sentiment Analysis

* Web Data mining

* Social Network Data Mining

Contact
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"pludu [at] buffalo.edu" | +1-(716) TOP-HEGG | My personal website