- Implemented supervised and unsupervised machine learning models to large datasets to draw critical insights from data and find solutions to real world problems- Trained state of the art convolutional neural networks (CNNs) over massive datasets to help detect out of focus objects within images - Deployed NLTK and Spacy frameworks for Natural Language Processing for sentiment analysis, sentiment classification and prediction- Performed comparative analyses on different word and… Show more - Implemented supervised and unsupervised machine learning models to large datasets to draw critical insights from data and find solutions to real world problems- Trained state of the art convolutional neural networks (CNNs) over massive datasets to help detect out of focus objects within images - Deployed NLTK and Spacy frameworks for Natural Language Processing for sentiment analysis, sentiment classification and prediction- Performed comparative analyses on different word and paragraph embedding models and their properties for sentiment analysis and prediction- Performed hyperparameter tuning to optimize various supervised and unsupervised learning models Show less

- Performed data cleaning, data wrangling and exploratory data analysis of large datasets using RStudio - Performed core statistical analyses on datasets such as hypothesis testing, chi-square, anova and ancova to analyse the patters present within the data - Performed prediction and optimization tasks for large datasets by implementing Machine Learning models such as Random Forests, Multiple Linear Regression and Logistic Regression- Performed Dimensionality Reduction on datasets… Show more - Performed data cleaning, data wrangling and exploratory data analysis of large datasets using RStudio - Performed core statistical analyses on datasets such as hypothesis testing, chi-square, anova and ancova to analyse the patters present within the data - Performed prediction and optimization tasks for large datasets by implementing Machine Learning models such as Random Forests, Multiple Linear Regression and Logistic Regression- Performed Dimensionality Reduction on datasets with a large number of variables using Principal Component Analysis- Built a recommender system to find the courses most similar to the one entered for the UCLA system based on the course name and description Show less

-Performed literature review of academic papers published in key areas of reinforcement learning such as achieving human level control, policy gradients and Multi Agent Reinforcement Learning, as part of an advanced Reading Group- Deployed Reinforcement Learning models through the Open AI Toolkit to simulate predator-prey situations with diverse reward sharing mechanisms to understand its impact on hunting success- Ran simulations to quantify the impact of the "internal reward… Show more -Performed literature review of academic papers published in key areas of reinforcement learning such as achieving human level control, policy gradients and Multi Agent Reinforcement Learning, as part of an advanced Reading Group- Deployed Reinforcement Learning models through the Open AI Toolkit to simulate predator-prey situations with diverse reward sharing mechanisms to understand its impact on hunting success- Ran simulations to quantify the impact of the "internal reward distribution" on hunting success of the predators to discover the optimal reward sharing strategy and hence maximize hunting success in pack animals. Show less

- Performed exploratory data analysis using Tableau and RStudio on the election data from the Indian General Elections in 2009 and 2014 - Collected and performed exploratory data analysis on the inflation data from 2011 to 2016- Built Regression models to the study the impact of inflation on election results in the 2014 Indian General Election as well as several regional by polls conducted between 2014 and 2016

- Studied the different kinds of ad revenue models and their pricing- Implemented Regression and Decision Tree models to isolate and quantify the impact of different factors data for ad revenue- Performed Search Engine Optimization (SEO) and improved ad revenue by 12% for the next quarter