Kayyala Teja

Data Scientist

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and NLP for healthcare.
Led projects improving decision-making efficiency by 30%.
Strong background in data science and machine learning.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven healthcare solutions.

Contact

kayyala.teja@carelon.com LinkedIn

Skills

Core Skills

Generative AiNatural Language Processing (nlp)Deep Learning

Other Skills

Agentic AICommunicationData ScienceEngineeringEnglishLarge Language Models (LLM)Machine LearningProblem SolvingPython (Programming Language)React JSResearchRetrieval-Augmented Generation (RAG)VECTOR DB

Experience

Carelon global solutions india

Data Scientist & Gen AI Developer

Jul 2022 – Present · 3 yrs 8 mos · Hybrid

In my current role, I apply advanced analytical techniques to interpret complex datasets
and deliver actionable insights with strategic recommendations. I lead the design and development of
sophisticated AI models aimed at enhancing decision-making efficiency in the healthcare sector. My
responsibilities include driving R&D initiatives focused on Generative AI and LLMs, managing a team
to refine OCR technologies, and engineering LLMs and NLP models to convert unstructured data into
structured information. I also design robust data pipelines and collaborate with cross-functional
teams to deploy AI-driven solutions while ensuring compliance with regulatory standards.
Achievements: I successfully spearheaded the creation of Generative AI models that improved
decision-making efficiency by 30%. Additionally, I directed a team that achieved a 20% improvement
in OCR technology accuracy, significantly enhancing natural language recognition capabilities.

VECTOR DBAgentic AIRetrieval-Augmented Generation (RAG)Python (Programming Language)Generative AIMachine Learning+4

Samsung r&d institute india - bangalore

Data Scientist Intern

May 2021 – Nov 2021 · 6 mos · Bangalore Urban, Karnataka, India

During my internship at Samsung, I developed and implemented a deep learning model
utilizing human audio samples for medical diagnosis, which enhanced the accuracy and efficiency of
health assessments. I also created an in-house application using React JS to integrate the deep
learning model into practical workflows and conducted research on emerging technologies like
Blockchain and AI to explore innovative solutions.
Achievements: My contributions led to significant advancements in the integration of deep learning
models into health assessment processes, improving overall diagnostic accuracy.