Siri Desiraju
Data Scientist @Johnson & Johnson
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WORK HISTORY
Data Scientist @Johnson & Johnson
NJ, US
Developing and implementing scalable data pipelines and search solutions using Elasticsearch to manage and retrieve high-volume medical data efficiently- Utilizing a wide range of LLMs—including Llama Index, LangGraph, LangChain, and the ChatGPT API—to perform advanced data analysis and enhance knowledge extraction from medical datasets- Collaborating cross-functionally to integrate AI-driven insights from medical data into strategic projects, improving data accessibility and decision-making in the healthcare field- Conducting deep analysis of medical datasets to uncover actionable insights, streamline workflows, and support data-driven healthcare solutions- Building and deploying machine learning models to support real-time data processing and predictive analytics in healthcare contexts.
EDUCATION
Chaitanya Bharathi Institute Of Technology
Bachelor's degree, Computer Science
New York University
Master of Science - MS, Data Science
ABOUT SIRI DESIRAJU
As a Data Scientist and Educator with a Master of Science in Data Science from New York University, I am dedicated to unlocking insights from complex datasets to drive meaningful change in the healthcare sector. My background in computer science, combined with hands-on experience in advanced analytics, positions me to tackle real-world challenges with innovative solutions.Currently, I work at Johnson & Johnson, where I develop and implement scalable data pipelines and search solutions using Elasticsearch to manage high-volume medical data efficiently. I leverage cutting-edge Large Language Models (LLMs), including Llama Index, LangGraph, LangChain, and the ChatGPT API, to conduct advanced data analyses, enhancing knowledge extraction and decision-making processes. My role allows me to collaborate cross-functionally, integrating AI-driven insights into strategic projects that improve data accessibility and streamline healthcare workflows.I am passionate about translating complex data into actionable insights and mentoring the next generation of data scientists as a Graduate Teaching Assistant at NYU. My diverse experiences, including a data science internship at Johnson & Johnson focused on Pharma Covigilance and various analytical roles, have equipped me with a robust toolkit of technical skills in machine learning, data engineering, and natural language processing.I am eager to continue my journey in the field of data science, where I can contribute to innovative projects that make a positive impact on healthcare and beyond!
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