Noida, Uttar Pradesh, India
7+ years of translating complex healthcare data into actionable insights that drive business value. Collaborating with different teams to execute data science projects from problem definition to model deployment, with a focus on improving healthcare experience with significant outcomes.
Developed and deployed AI-driven solutions to optimize operational efficiency and improve customer experience. Expertise in NLP, LLMs, and data augmentation techniques. Focused on building automated systems and ensuring responsible AI practices.
Led the development and implementation of data-driven solutions to improve customer experience, with a focus on advanced call analytics. Developed a highly scalable platform for large-scale text analysis, utilizing NLP techniques, transformer models, and Apache Spark for distributed processing. Key contributions include: - Developed a multi-label text classification system for in-depth analysis. - Created a robust transcription pipeline using state-of-the-art STT models (e.g., OpenAI's Whisper), achieving ~11% WER - Worked on automating call summarization process using LLMs(fine-tuning) and prompt engineering to generate concise summaries
Responsible for the deployment, maintenance, and ongoing support of production applications. This included system administration, troubleshooting, performance optimization, and ensuring high availability.