Nazneen Rajani

Nazneen Fatema Rajani

نازنين فاطمه راجاني

नाज़नीन फ़ातेमा राजानी



News About Me Research Education Experience Trivia Affiliations
  • Long paper on stacking for KBP accepted at ACL 2015 [pdf]
  • Flying to Beijing, China in July 2015 for giving a talk on the stacking approach for KBP at ACL 2015

About Me

I am a PhD student in Computer Science at the University of Texas, Austin. I am interested in Machine Learning and Natural Language Processing. My advisor is Ray Mooney and I work on Slot Filling (SF) as part of Knowledge Base Population (KBP) using Natural Language Processing and Machine Learning. I completed my MS thesis with Prof. Jason Baldridge on extracting topics from Twitter based on author and recipient of tweets. In the past I have also worked with Prof. Inderjit Dhillon on analysis of Social Networks. I am a recipient of the prestigious Google Anita Borg Scholarship. Here is my resume.



  • Nazneen Rajani, Kate McArdle and Jason Baldridge, "Extracting Topics based on Author, Recipient and Content in Microblogs", ACM SIGIR 2014. [pdf]
  • Onkar Dabeer, Nazneen Rajani, Atul Saroop and Aditya Karnik, "Improving Opinion Estimation from Tweets by Collaborative Filtering", The International AAAI Conference on Weblogs and Social Media, June 2012. [pdf]
  • Nazneen Rajani, Dr. Gaurav Dar, Rajoshi Biswas and Dr. Ramesha C.K., “Solution to the Tic-Tac-Toe Problem using Hamming Distance Approach in a Neural Network”, IEEE proceedings of Second International Conference on Intelligent Systems Modelling & Simulation, January 2011. [pdf]

Thesis and Reports

  • Nazneen Fatema Rajani, Edaena Salinas, Raymond Mooney, “Using Abstract Context to Detect Figurative Language”, SemEval task, July 2013. [pdf]
  • Nazneen Fatema Rajani, "Social Media Analytics", Bachelor's thesis, November 2011. [pdf]
  • Nazneen Rajani and Nick Wilson, "Generating Twitter Replies Based on User Location", May 2013. [pdf]
  • Nazneen Fatema Rajani, "Exploring Accuracy with Serendipitous Discoveries in Recommender Systems", December 2012. [pdf]


I graduated from BITS Pilani Goa Campus with a Bachelor's (thesis option) in Information Systems. For my thesis, I worked at Tata Institute of Fundamenal Research, Mumbai with Dr. Onkar Dabeer on improving opinion estimation from tweets using collaborative filtering. At BITS, I worked with DR. Ramesha C.K. and Dr. Gaurav Dar on applications of neural networks to games.

I have taken/would be taking following relevant courses:

Concepts of Information Retrieval; Pattern Recognition and Computer Vision; Probabilistic Graphical Models; Computer Vision; Applied Natural Language Processing; Natural Language Processing; Numerical Linear Algebra.



eBay Research Labs, Seattle Research Scientist Intern, May 2014 - November 2014

Using graphical models to finding “interesting” items on eBay based on Pinterest data. Developed classifier for finding matching eBay items to a product pin on Pinterest.

Texas Advanced Computing Center, AustinResearch Assistant, September 2013 - May 2014

Evaluating ML algorithms on GraphLab versus Hadoop on TACC supercomputing cluster.

Qualcomm Research, San Diego Technical Intern, June - August 2013

Developed a Framework using Hadoop and Cassandra for motion detection and classification of the mobile phone user. Map Reduce was used to compute and evaluate on TeraBytes of Accelerometer data., BangaloreStartup Stint, Jan - July 2012 is Netflix for India. Designed and developed the entire analytics stack using Amazon EMR, Hadoop, MongoDB and Hive. The system was used to record and analyse user/video activities on the site.

Yahoo, BangaloreSoftware Engineer-Intern, Jan - June 2011

Increase the reliability of edit machines for Yahoo! Stores by adding a layer of Hadoop Zookeeper server.


I was born and raised in the heart of Bombay, India and have always had mixed opinions about the place. Luckily, I got to spend the most beautiful 4 years of my bachelors in Goa at BITS. I love traveling, reading, painting, meeting new people and adventure sports.

Apart from computer science and programming, I am highly interested in learning about international politics and history. In my leisure time, I like reading reddit, comics and daily news.

Affiliations(Past and Present)

Scalable Machine Learning Project