May 2019 – Jul 2019 · 2 mos · Bangalore

• Worked on Real Time Sentiment Analysis of Tweets. It involved :
• Created a real-time streaming data pipeline using Apache Kafka and Twitter streaming API to ingest relevant twitter data
• Performed real time sentiment analysis on the ingested data and visualized it using Elasticsearch and kibana dashboard
• Extended the functionality of Elasticsearch to develop a python-based robust, system-wide document searching capability

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

• During my 2 month internship at NOKIA-Gurgaon, I worked on a project named *L3 Data Collector Analysis* which involved:
• Extracting the sequence of Network Call Procedures from a trace and analyzed the common flows associated with it.
• Training the edges of a Graph Data Model, representing the probability of 2 Network Procedures being called together.
• Separating faulty logs from the correct ones and pointed out the abnormalities in them, to understand its actual cause.

Aug 2017 – Dec 2017 · 4 mos · Montreal, Canada Area

• Worked on Real Time Catheter Segmentation. My primary works involved
• Aiming at real-time segmentation of the tip of catheter while inside a human body, from X-ray images of the body part.
• Training a U-Net(CNN) on the X-ray images obtained at 20/sec for segmentation of the catheter, hence identifying its tip.
• Proposing to approach with a Recurrent Neural Network (RNN) with the obtained CNN as input for real-time outcomes.

Dec 2016 – Dec 2016 · 0 mo · New Delhi Area, India

• Drug Design, Project Dhanvantari wherein I did the following:
• Developed a C++ program to identify the most stable compound configuration for given set of molecules as input.
• Came up with a novel way of storing atoms and bonds to fasten molecule operations like bond formation, deletion.
• Conformational stability of compound was achieved by adjusting relative atom coordinates using rotation matrices.