Yaswanthkumar Gothireddy

1. Implemented Machine Learning and Deep Learning for classification of wheel configurations using Sensory Data. 2. Programmed Robust Data Pipelines utilizing Data science Techniques such as Data Wrangling, Cross-validation, and optimization. Implemented ensemble models, convolutional Neural Networks using TensorFlow, Python and Scikit-learn. 3. Provided technical documentation and presented results. Results: Developed a working wheel classification model with an accuracy of 91% on a noisy sensor data.

1.Mined 40GB of patent claims data using NLP techniques and Google BigQuery. 2. Designed and created a Database of Patent keywords in MySQL 3.Scrapped 4000+ movie ratings from Rottentomatoes.com using Scrapy.

1. Provided Valuable insights to researcher's creating Dashboards and Visualizations using R Shiny 2. Scrapped research articles from web using Scrapy and Rvest. 3. Visualized HIV spread using Matplotlib and ggplot2.

Machine Learning, Data visualization, Big Data, Programming in Data Science, Probability and Statistics, Social Media Analytics, Retail Analytics, Marketing Analytics, CSR.