indranil mukherjee_latest
TRANSCRIPT
Indranil Mukherjee
International Institute of Information Technology,Hyderabad
[email protected] +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%
MAJORPROJECTS:
Wikipedia Search Engine: Jan’16
Implemented TF-IDF model for retrieving the top 10 results for any query search within0.2-0.5 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 enhanceuser experience.
Movie Review Portal using web2py Framework: Nov’15
A web portal that allows users to view details of latest movies, read reviews and watchtrailers. The portal also allows registered users to submit their own reviews and ratingsand also recommend movies to other registered users.
Mental Health Assistant: Dec’16
A system that can predict mental disorder after reading a transcript of conversationbetween the patient and a psychotherapist. It can help psychotherapists in diagnosisof mental illness. Extracted features from transcript of sessions to predict illness.
MINIPROJECTS:
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 linuxcommands (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 techniqueslike 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.
COMPUTERSKILLS:
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.