Indranil Mukherjee has a M.Tech in Computer Science from IIIT Hyderabad and a B.Tech in Computer Science from IEM Kolkata. His major projects include developing a Wikipedia search engine using TF-IDF, an automated tag prediction system for Stack Overflow questions, and a movie review portal using the web2py framework. He also created a mental health assistant that can predict mental disorders from patient-therapist transcripts. His skills include programming in C, C++, Java, Python and web technologies like HTML, CSS, and JavaScript. In his free time he enjoys swimming, reading, and following current global events.

1. Indranil Mukherjee
International Institute of Information Technology,Hyderabad
m.indranil93@gmail.com +91-9515620714
EDUCATION: Year Degree / Certificate Institute / Board CGPA or Percentage
2017 M.Tech(CSE). IIIT, Hyderabad 8.25/10.0
2015 B.Tech(CSE). IEM, Kolkata 8.40/10.0
2011 Class XII CBSE 93.67%
2009 Class X ICSE 94.43%
MAJOR
PROJECTS:
Wikipedia Search Engine: Jan’16
Implemented TF-IDF model for retrieving the top 10 results for any query search within
0.2-0.5 seconds. Supports field search on - title, info-box, text, categories.
Automated tag prediction for Stack Overflow Questions: Mar’16
A multi-label classification system that automatically tags users questions to enhance
user experience.
Movie Review Portal using web2py Framework: Nov’15
A web portal that allows users to view details of latest movies, read reviews and watch
trailers. The portal also allows registered users to submit their own reviews and ratings
and also recommend movies to other registered users.
Mental Health Assistant: Dec’16
A system that can predict mental disorder after reading a transcript of conversation
between the patient and a psychotherapist. It can help psychotherapists in diagnosis
of mental illness. Extracted features from transcript of sessions to predict illness.
MINI
PROJECTS:
Mini SQL Engine: Feb’16
A mini query engine that allows users to fire basic sql queries on multiple tables.
Linux Shell: Nov’15
Implemented a lightweight version of linux shell that allows users to run all linux
commands (with support for piping and redirection) using system calls.
Predicting House Prices using Advanced Regression Techniques: Oct’16
Designed a model that predicted the price of a house. Different Regression techniques
like Ridge and Lasso Regression were used to predict the price of a house.
Web Proxy: Oct’16
A simple web proxy server that communicates between a web client and a web server.
Functions : accepting HTTP requests, caching results, and returning data to a client.
COMPUTER
SKILLS:
Programming Languages: C, C++, Java, Python.
Platforms: Linux, Windows.
Web Technologies: HTML, CSS, javascript.
Database: MySQL.
Software/Frameworks: Web2py.
Other tools: Pandas, scikit-learn.
INTERESTS/
HOBBIES:
Swimming, Reading and keeping track of current global affairs.