BHARGAV BHIMA

Client - PayPal. The scope of the project was to identify privacy data present in PayPal database to comply with GDPR regulations. Involved in development of models to classify various PII, PHI & Infosec privacy data. Developed regex-based models to classify numeric data & NER based models to classify text data. Involved in Performance improvement of the model/package. Worked on packaging the model as a python library which will be used by internal apps. Carried out pre-release activities like Metrics report preparation and validate models.

Involved in Designing and developing NLP applications. Using effective text representation techniques and classification algorithm for training and evaluating models. Developed a User Intent Speech Recognition Engine using NLP, Neo4j database and deployed using Flask API.

Developed an Optical Character Recognition engine using Deep Learning. Developed a Model to Predicting probability of Diabetes in patients using Logistic Regression algorithm and deployed a web application using Flask. Worked on Real time Object detection Engine using YOLO.

Studied Machine learning, Advance statistical methods, Exploratory Data analysis, Domain specific Predictive analytics, Image Processing analysis, Big Data frameworks, Information visualization, SQL databases. Master Thesis on Real time Object detection Engine using YOLO.