Resume 2016

1. Pawan Dhananjay
E-mail: pawan.dhananjay@iiitb.org
Phone: +917829962873
Areas of Interest
Blockchain technology, Machine Learning, Data Mining, Secure Distributed Computation, Computer Networks and security
Work Experience
DataWeave Software, Bangalore
Intern
Built a chrome extension for automatically generating XPath expressions of all products in the
product listing page of e-commerce websites and pushing the extracted data into the server.
May 2015 - August 2015
MediaLab Amsterdam
Intern
A multidisciplinary student exchange project mentored by MediaLabs, Amsterdam and Fields of
View,Bangalore commissioned by Cisco Systems, Pvt.Ltd. The theme of the project was Citizen
Engagement using public data. Developed the game ' ubbish₹ ' which we called upon the
players to tackle the city's waste crisis by playing the role of a Dry Waste Collection Center
manager.
Technical Skills
Sept 2014 — Jan 2015
 Programming Languages: Python, C++, C, MATLAB, R, Java
 Technologies Used: IBM Bluemix cloud platform, Ethereum blockchain platform, MEAN
framework, Flask, MySQL, JDBC
 Tools and IDEs: Eclipse, PyCharm, LyX, Android Studio
Education
Basic Education — Atomic Energy Junior College, Mumbai and St Lawrence High School,
Navi-Mumbai
Standard 12th: 93.17% aggregate in HSC Examination, Maharashtra State Board
Standard 10th: 92.33% aggregate in SSC Examination, Maharashtra State Board
May 2009 — May 2012
Integrated Masters in Information Technology — International Institute of Information
Technology, Bangalore
Current CGPA: 3.24 out of 4.
Aug 2012 — Current

2. Relevant courses
Secure Computation, Machine Learning, Cryptography, Algorithms for massive datasets,
Machine perception, Network security, Wireless access networks
Top Projects
Distributed Sensor networks using blockchain
Guide: Prof Joy Prabhakaran
Currently working on building a distributed, peer to peer network of sensors attached to a
Raspberry Pi which update their sensor values onto a blockchain and take certain actions
based on values of other sensors.
Spring 2016
Dish Based Restaurant Recommendations
Guide: Prof G. Srinivasaraghavan – Fall 2015
Mining dish based ratings from their respective restaurant reviews on social platforms like
Zomato and furthermore providing user customized recommendations on must try dishes in
restaurants. Used NLTK and Spacy NLP libraries and a generative classifier in Python.
Fall 2015
Distributed sharing of WiFi networks
Self project - Current
Working on creating a platform where users can share their WiFi connection with other users
and get paid for the used internet using micropayments enabled smart-contracts on the
Ethereum blockchain.
Spring 2016
Private Set Intersection using Garbled Bloom filters
Guide: Prof Ashish Chaudhary – Spring 2015
Implemented private and secure set intersection using a variant of Bloom filters in Python.
Concepts used were of Secure multiparty computation on massive datasets.
Fall 2015
VCode
Guide: Prof Jayprakash Lalchandani
An online environment for collaborative coding where multiple users can edit the same piece
of code simultaneously. Implemented using Javascript, HTML and CSS.
Spring 2015
Page 2

3. Prefetch cache
Guide: Prof Srinath Naidu
Implemented data and instruction prefetch cache using the Simplescalar architecture and
compared its efficiency to available benchmarks.
Fall 2014
Achievements
 First prize in 24 hour Applift Data Hackathon for building a machine learning model to predict the optimal bid
value in an online ad auction in order to maximize the probability of the ad being displayed on the corresponding
page and getting clicks.
 Runner-up at 24 hour Swiss Re hackathon for building a personalized risk analyzer for short trips.
 Won the award for Best ICT project in Computable Awards 2015, Netherlands for project ' ubbish₹
 Winner under the category 'Apps for Bluemix' at India's largest hackathon, HackIndia 2015.
 Runner-up in Table Tennis in college sports festival, Spandan
Page 3