• Built a healthcare data warehouse using PySpark, Hive with over 10 million rows.• Developed and tested features for dashboard using React, Flask, CSS, and JavaScript.• Developed a full-stack web application using Python, Django and React to display medical records.• Worked on integrating NoSQL database systems such as MongoDB, Cassandra, AWS DynamoDB with Flask.• Analyzed and visualized medical data using Tableau and Matplotlib to create reports which helped increase sales by 30%.• Proficiency in scripting languages such as Bash and Python for automation and configuration management tasks in Kubernetes

• Designed, developed and deployed a chatbot intended for clinical trial participants.• Created a full-stack application of the chatbot using Python, Flask, React, Rasa, MySQL and AWS.• Used NLP techniques, such as bag-of-words, term frequency-inverse document frequency (TF-IDF), and word embeddings to classify medical terms.• Organized meetings with internal stakeholders every 2 weeks to assess the state of the chatbot and discuss future improvements.• Created an attention based seq2seq model using TensorFlow for text translation with 65% accuracy.

• Worked on automation and windows application development using WPF and .NET with a team of 4.• Created an WPF application for Hubbell Lighting, to automate data entry, resulting in a 40% boost in efficiency.• Collaborated with front-end designers to create a UI for the application.• Used SSIS designer to create and maintain integration service packages.