Hritwij Shrivastava

Spearheaded a healthcare project on Databricks, utilizing PySpark and Python to develop a data processing framework. Collaborated with testers to establish a comprehensive testing strategy, resulting in an 80% increase in code quality. Engineered and scaled data processing capabilities, successfully boosting processing efficiency from 40 HL7 messages per hour to 7.2 million HL7 messages into OMOP CDM fields. Utilized Azure ADLS to streamline HL7 file reading and writing processes, enhancing data accessibility and management. Developed an application employing various NLP techniques, including RapidFuzz, to suggest correct words based on OHDSI Athena vocabulary. Containerized the NLP application using Docker and deployed it on an Azure virtual machine, contributing to increased efficiency and accessibility.

Developed Python script for cleaning and transforming unstructured data coming from various APIs. Used pandas normalization technique to process JSON response from multiple APIs the client provided. Proactively communicated and collaborated with the SQL team for final data migration.

Created a Django-based scalable e-commerce website with the help of Jquery, Python, Bootstrap, and Javascript. Developed efficient and maintainable software according to business objectives and needs of clients. Reviewed code, debugged problems, and corrected issues. Hosted final application on AWS EC-2 instance with the help of Nginx.

Relevant Coursework: Analog and Digital Electronics, Machine Learning, & Discrete Mathematics.