Education

MASTER’S IN DATA SCIENCE, GPA: *.*/*.* MAY 2018

Indiana University, Bloomington, IN, USA

BACHELOR OF ENGINEERING IN ELECTRONICS AND TELECOMMUNICATION, GPA: 3.5/4.0 MAY 2016

Dwarkadas J. Sanghvi College of Engineering, Mumbai, India

Technical Skills

Languages (in order of proficiency): Python (NLTK, Scipy, Numpy), R (ggplot2, rpart), Postgres, mySQL, MATLAB, Java

Machine Learning: deep learning modeling, Natural Language Processing, Tensor Flow, Markov Chains, General Linear Models

Big Data: Hadoop Map/Reduce, Apache Spark

Academic Projects

Enhancing Alexa’s capabilities using Sentence Clause Detection

Built a clause Detector that detects matrix, embedded and relative clauses in complex and compound sentences using Natural Language Processing (Stanford CoreNLP).

The clauses are represented on a Knowledge Graph in neo4j. The graph is integrated to Alexa module.

Flight delay prediction using General Linear Models

Built a GLM model using OLS estimation to study the factors affecting flight delays amongst the top 11 airports in USA. The project was implemented on SAS.

The model involved the use of Dummy variables, overcame issues like multicollinearity autocorrelation and heteroscedasticity.

Achieved 0.96 adjusted R-squared for the period 2013-2016

Blink detection-based Head Mounted Camera

Implemented an eye-blink based, gesture-controlled head mounted Go-Pro style camera with additional functionality.

Used eye blink detection to capture images/videos and arm movement to perform zoom in and out functions.

Enabled real time access to captured images by uploading data on to a web server.

Developed the project on a Raspberry Pi board using Python as the primary programming language.

Experience

TEACHING ASSISTANT INDIANA UNIVERSITY AUGUST 2017 –DECEMBER 2017

Instructed students in their capstone project to integrate their applications to SQL database.

Mentored students on the challenges of working with a team and holding

INTERN SBI MUTUAL FUND, MUMBAI JUNE 2015-AUGUST 2015

Used Principal Component Analysis and Regression to establish a relationship between parameters that govern the price of a stock. The project was implemented on R.

Built a model using Arbitrage Pricing Theory and Multi-Factor models that could predict the expected return on a portfolio.

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