Data professional with expertise in building end-to-end data engineering pipelines and machine learning solutions. At Cigna, I worked on building time-sensitive data engineering pipelines from scratch using Spark, AWS and Databricks services while maintaining the data governance and compliance standards of the healthcare insurance industry. As a graduate research assistant, I worked on Statistical Neural Language models like BERT to devise an effective NLP solution for Personally Identifiable Information (PII) redaction. In Target, I applied statistical and machine learning techniques to forecast digital demand and optimize inventory replenishment across regional distribution and fulfillment centers. I also had the opportunity to develop, deploy and maintain production-ready ML pipelines using CI/CD tools. I have a master's degree from the Indian Institute of Technology, Bombay and recently completed my second one in Big Data Analytics from the University of Central Missouri. With my expertise in building robust data-based solutions, I strongly believe that I can greatly contribute to the company’s growth. I am looking for full-time opportunities in data engineering or data science where I can leverage my skills and expertise to contribute to the company’s OKRs, thereby helping the company’s vision.