• Integrated a back-end machine learning model which provides source pattern to target pattern standardization suggestions with the front-end user interface • Built a machine...more learning model to suggest join keys with a ~20% increase in accuracy by wrangling user logs to generate training data • Fixed minor UI related bugs and added Mocha unit tests • Analyzed product logs to determine the new user retention rates and churn values in a conversion funnel
Deep Learning, Convolutional Neural Network, TensorFlow · Built a deep convolutional neural network (CNN) to recognize and classify the human emotion… · More in the images from the Kaggle FER 2013 dataset using Tensorflow wrapped in Keras on Google Cloud Platform
Scala, Apache Spark, Gensim (Latent Dirichlet Allocation) · ??? Restaurant recommendation based on friends ?.
Devised a new system of user… · More specific ratings for restaurants by analyzing the latent criteria of reviews from the Yelp Dataset by implementing Latent Dirichlet Allocation in Python and Spark using Scala.
Java, Hierarchical Clustering, MySQL · Effectively utilized a hierarchical clustering algorithm in Java to efficiently assign bell-times of schools in… · More order to minimize the number of buses servicing the schools in an Agile Software Development Environment.
Scala, Apache Spark, Random Forest Algorithm · Effectively predicted the number of downloads of songs from Million Songs Dataset by implementing a… · More linear regression model in Spark using Scala, also used R for analyzing the raw data and results.
Classify fake news headlines vs authentic news headlines
Python, Scikit-Learn, Ensemble Classifiers · Evaluated the performances of various ensemble learners implementing different machine learning strategies… · More after identifying the main features to distinguish between click baits and authentic news headlines collected from an available corpus.
Python, NLTK, Tweepy Api · Analyzed the opinion of the public towards a sale conducted by an e-commerce website in India for 5 days by collecting live… · More tweets and developing a model to determine the polarity of the tweets using machine learning and natural language strategies.
Python, Artificial Intelligence, PyCharm IDE · Developed a code to solve cryptarithmetic problems consisting of addition and subtraction operations as… · More a combination of a backtracking search problem and a constraint satisfaction problem in Python.
I am a Computer Science graduate student from Northeastern University and currently looking for a Full-time opportunity. I will be available from January 2019. My primary interest lies in Full Stack Web development and Application Development and also interested in Machine Learning and Data Science.
I love working in challenging places that push me out of my comfort zone constantly and help me get a better work experience every day. I am looking for a position where I can get an opportunity to work on a wide spectrum of tasks and willing to get my hands dirty and gain knowledge and experience.