Tushar Chemburkar

Student - Coder

Projects

Developed an application to extract set of information templates from a large corpus. Used Selenium for web scrapping and generated POS and NER tags using SpaCy library in Python. Also, used Duckling for recognizing dates and times from the corpus.
Contributed in a team of five to develop a web application which provided housing options. Applied various GRASP principles and GOF patterns for designing the application.
Developed a complete web application using Angular5, used Materialize CSS for UI and used MongoDB and Node.js for implementing backend.
Gathered tweets based on a specific hashtag using twitter API, cleaned them and applied sentiment analysis on each tweet using python, tweets were classified as positive or negative(different indicators on map) and their sources were displayed on a heat map and co-ordinate map. Kibana was used for data visualization.
Github Link
Pre-processed datasets and applied regression models like Random Forest, AdaBoost and Gradient Boosting to predict the sales values of different items of a grocery store. Developed model using the scikit-learn library in Python.
Github Link
Designed relational database for online book store and constructed ER diagram for the same. Normalized the database schema and created triggers and procedures using PL/SQL.
Designed, developed and published mobile application called ‘Flash Reminder’, a productivity tool that notifies user at a set time.
Github Link
Playstore Link
Partnered with a team of three to develop a convenient system for bus commuters by providing features such as live-tracking of buses, crowd estimation and ticketing through RFID, and promote the use of public transit systems in the process. Implemented networking between servers and Raspberry Pi using socket programming in Java.Developed an Android application which displayed live position of the buses on Google maps along with their occupancy.
Github Link

About

Contact Me

chemburkartushar@gmail.com
Copyright © Tushar Chemburkar 2018