I am a Graduate student at the Stony Brook University, NY, pursuing my Master's of Sciences degree in Computer Science since Fall 2017 and anticipate to graduate by Spring 2018 (December). Before beginning my career at the Stony Brook University, I have recieved my undergraduate degree from the Vellore Institute of Technology, Chennai in Bachlor's of Technology in Computer Science and Engineering.
My interests range in various fields that include Predictive Modelling for Data Science, Big Data, Artificial Intelligence, and Website Development. I have a keen interest learning about developing machines that can process huge amounts of data in real time and attain decision making skills close to humans. I also like to study about developing computationally feasible models capable of extracting information from huge data sets and generating profitable insights.
Captivated by the idea of data classification to find similar attributes in multi-featured data, I intensely study about the computational feasibility of these algorithms when the size of processing data is scaled up substantially. In the present era of social networking, I see great potential in the amount of data that is generated at an exponential rate. It is intriguing for me to think of developing predictive models that can predict what users want even before they ask for it or can even draw presumptions for a social change. My long term goal after the Master’s program is to work as a Data Scientist in an organization with a keen focus on research building machines that can percept information out of the raw data.
Tech Stack: PHP, Python, MySQLi, HTML, CSS, C++.
Designed and Developed a financial portal that helps investors understand the investment risks associated with a company in a better way. The portal was designed to handle and analyze the data of 1800+ companies with each company carrying the stock data of the past 5 years. The project was lead by the CEO of the company Mr. Shaarang Sahanie along with two other partners and me as an intern.
TechStack: CMS-JOOMLA, PHP
Renovated the website of a renouned Indian Engineering Institute preserving all Front-end and Back-end functionalities.
Tech Stack: Python, Flask, MongoDB, Data Science, NLP, Machine Learning
Desigining and implementing the techniques of Machine Learning, NLP and Sentiment Analysis to validate new articles from over 50k+ news sources under the guidance of Prof. Steven Skiena in the Data Science Lab at SBU.
TechStack: Python, Prolog, Hadoop, MapReduce
Implemented the algorithms discussed in a research paper to enable Prolog (a logic programming language) generate inferences from a large number of facts using Map Reduce framework executed in Python.
TechStack: Python, Keras, TensorFlow
Implemented an Artificial Neural Network using Python’s Keras Library (TensorFlow) to understand a bank’s customer churn rate and predict vulnerability of customers. Improved the model using K-fold cross validation.
TechStack: Python, EDA
A program that analyzes data to find patterns in a university’s admission trends and generate insightful analytics that helps students identify best universities for their profile. [Project Link]
Created a new website for the research scholars of VIT University to enable them fasten the process of registrations advancing over the offline procedures and also helps the scholars publish their research profile to internal faculties.
Implemented an auto-update recommender system by developing a prototype of an e-commerce website that provides personalized recommendations by tracking a customer’s activity.