Bhawna Juneja

b www.linkedin.com/in/bhawnajuneja • Awarded with certificate of course completion in Arti- ficial Intelligence for Robotics at Udacity. T +1 412-636-4095 B [email protected] EDUCATION School of Computer Science,Carnegie Mellon Univer- WORKEXPERIENCE sity,Pittsburgh Amazon Inc. (Speech Team) Masters in Intelligent Information Systems(MIIS) May 2015 - August 2015 August 2014 – December 2015 Worked on developing a service for Global Supplemental Courses:Machine Learning, Machine Learning in Text Anal- Models which caters to adding items like popular artists, ysis,Search Engines,Machine Learning for Large Datasets, albums & tracks. Natural Language Processing, Language & Statistics Also worked on a project in Natural Language Understand- Grade: 3.88/4.33 ing Team (NLU) on building Play Station Intent FST which Netaji Subhas Institute of Technology, India recognizes user queries pertaining to playing station name Bachelor of Engineering in Information Technology or program name on Echo. August 2009 – August 2013 Carnegie Mellon University Grade:4.00/4.00 January 2015 - May 2015 Worked on Text Analysis Project with Professor Jaime Car- ROJECTS bonell for Boeing Company.Our task was to analyse the P text related to Boeing plane history and use this informa- Question Answering System on Wikipedia Articles tion to find various events using Machine Learning Algo- Built a QA system in a team of four which generates co- rithms. herent and grammatical questions using various NLP tech- Accolite Software India Pvt Ltd.(Software Developer) niques & tools such as NLTK,Stanford Parser,MITIE.In ad- July 2013 - July 2014 dition,it could also generate answers to the input set of Implemented, in a team, a portal for patients (Bed Por- questions. tal), which could be used to access medical data, ask for Large Scale Machine Learning Algorithms assistance & recreation (HMA,US). Following it, migrated Implemented various machine learning algorithms such as the front-end from xul to extJS with Java at back-end for Streaming Naive Bayes, Hadoop Naive Bayes and Phrase the project Accept360 to improve performance & response Finding, Logistic Regression with Stochastic Gradient De- time. (DevFactory,US.) scent,Approximate PageRank which runs on large amount Indian Institute of Technology(IIT Delhi), Intern of data. Learnt concepts about BloomFilters, Hadoop Map- June 2012 - July 2012 Reduce, Parameter Servers. Advisor:Dr.Manik Varma,Researcher,Microsoft Research In- Collaborative Filtering for Movie Recommendations dia;Adjunct Professor, IIT Delhi Used collaborative filtering to develop a movie recommen- Built a basic random forest classifier in MATLAB & worked dation system for users on the Netflix Prize Dataset. Imple- on its application to various fields. mented memory-based method & model-based methods to predict the ratings of movies for new users. SOFTWARE SKILLS Text Retrieval Models Proficient:Java,MATLAB Implemented various retrieval models such as Exact Match (Ranked and Unranked Boolean) & Best Match Retrieval Intermediate:Javascript,Python,C++,Map-Reduce, Hadoop Models (BM-25,Indri).Also performed structured query re- Familiar:Spark,Python-mlibs, MongoDB,MySQL, formulation,query expansion, pseudo-relevance feedback EmberJS,ExtJS and Learning to Rank (LETOR) using Features Based Re- trieval Model to improve search results quality. PUBLICATIONS Image Classification Analysis on CIFAR-10 Dataset • Published a paper titled MOVG: Mining Opinions from Evaluated performance of various supervised and unsu- Videos Using Hand Gestures in International Con- pervised machine learning algorithms on CIFAR-10 dataset ference on Data Mining 2013(ICIP 2013)published by using various feature extraction( HOG, GIST) feature se- Elsevier Publishers and indexed in DBLP. lection (PCA, SBMLR, MI ) techniques. We were ranked among top 15 out of 123 teams in Kaggle competition. • Presented a paper titled TAG: A Two-level framework Learning to Rank (LETOR) for user Authentication through hand Gestures in In- Implemented Logistic Regression model and used SVMlight ternational Conference on Contemporary Computing for Learning To Rank (LETOR) on MSRA dataset. Eval- (IC3 2013) which was published by IEEE Xplore. uated models employing rank-based evaluation metrics - • Published a paper titled Semantic Document classifi- Normalized Discounted Cumulative Gain (NDCG), Mean cation using Lexical Chaining and Fuzzy Approach in Average Precision (MAP) and Precision@N (P@N). the International Journal of Soft Computing and En- Gesture Based Opinion Mining gineering, Volume-1, Issue-5, November 2011.Paper Developed a system in MATLAB to extract sentiment of the presentation at International Conference on Commu- video by employing only users hand gestures.In addition, nication languages and Signal Processing- ICCLSP2012. extracted an overall sentiment using SentiWordnet. Context based text classification with lexical chaining ACADEMIC HONORS Worked on creation of a semantic classifier which utilizes the concept of dual lexical chaining(noun & verb sense) to • Awarded with Merit Certificate & Scholarship in four extract underlying meanings in a document for the pur- consecutive years 2009-2013 for academic performance pose of categorization. at NSIT,India