MLDS - Machine Learning for Data Science

This new journey I am embarking on represents a fresh chapter in my life, one that follows numerous challenges and setbacks in both my career and personal life since the outbreak of COVID-19 in 2020. Through it all, I have cultivated resilience and tenacity, which have shaped the person I am today. I am filled with hope as I embrace this opportunity to live a purposeful life and extend a helping hand to othersAfter persevering through a challenging period of 2 years and 11 months, I have finally secured admission to the esteemed University of Southern California for computer science. This marks my first significant step towards overcoming the career gap and any setbacks I may have experienced during that time. Attaining a place at this renowned university was no easy feat, but it stands as a testament to my unwavering dedication, patience, and determination. Besides, I am more than happy to assist anyone within my capacity, whether it be studies, career, life, or stress management.

∙ Developing a fully responsive, mobile-friendly HIPAA-compliant single-page application (SPA) that sources data from multiple EHR(Electronic Health Record) systems such as Epic, Athena, Cerner, Allscripts, and others.∙ Building and integrating FHIR-based APIs with the front end using Django REST Framework.∙ Proprietary ML models based on Federated Learning and GNN run readmission analysis on patients' data for healthcare providers to help them in decision-making.∙ Optimised the performance of our website by significantly improving the loading speed by ~500ms (achieved a performance score of 60 from 45)∙ Improved the accessibility score of our website (from 75 to 85)∙ The best part I love about this work is that I get to wear multiple hats to build a life-saving value product.

• Garnered extensive hands-on experience in the field of Big Data and Cloud Computing. This role provided me with the invaluable opportunity to acquire proficiency in a wide array of technologies and tools including Hadoop, Hive, Spark (including Spark SQL and Spark Streaming), Kafka, Tableau(data visualization), Talend(ETL tool), Cloudera, and HortonWorks.• Actively contributed to the Applied Intelligence Platform—a cutting-edge cloud-based analytics platform. This platform offers a comprehensive suite of pre-built Analytics applications and empowers organizations to tailor solutions by leveraging the power of AI, ML, and industry best practices.• Through my work, I consistently demonstrated my expertise in navigating complex challenges and delivering exceptional results. I thrived in an environment that demanded adaptability, problem-solving skills, and a keen eye for detail.