Manu Kariyappanavar
Data Analyst
About
Experienced Data Analyst with 2+ years of experience specializing in Generative AI and advanced analytics to extract insights from structured and unstructured data. Proven expertise in designing and deploying AI-driven solutions using LLMs, NLP, and Retrieval-Augmented Generation (RAG) to automate decision-making and optimize operational workflows, with a strong track record of delivering impact in the healthcare domain.
Skills & Expertise (35)
Work Experience
Data Analyst
INNODATA India
Dec 2025 - Present
Architected and designed end-to-end project workflows to manage both structured and unstructured data, leveraging SQL for efficient querying and KPI-driven analytics across large-scale healthcare datasets. Developed and deployed multiple Intelligent Content Processing (ICP) solutions, achieving 95% accuracy and significantly improving operational efficiency for healthcare insurance clients. Built and exposed AI/ML and GenAI pipelines through FastAPI-based microservices, enabling scalable, secure REST APIs for document processing and decision-support systems. Designed and implemented Generative AI and RAG-based architectures, utilizing LLMs, embeddings, cosine similarity, and prompt engineering to automate medical record analysis and summarization workflows. Deployed FastAPI–based web applications on EC2 Linux instances, and implemented serverless architectures using AWS Lambda, S3, and API Gateway to ensure scalability, high availability, and cost efficiency. Led the production deployment of AI solutions across cloud environments, integrating OCR, NLP, ML, and GenAI components with databases while ensuring performance, scalability, and reliability. Applied advanced NLP and Machine Learning techniques, including spaCy, NER models, and LayoutLM, to extract critical entities and contextual insights from complex medical records. Conducted Exploratory Data Analysis (EDA) and data mining to uncover trends, patterns, and anomalies, supporting data-driven decision-making and continuous model improvement. Executed Proof of Concepts (POCs) for medical record and call transcript summarization using OpenAI, validating GenAI feasibility and accelerating adoption into production systems. Automated data preparation and analysis pipelines using Python scripting and SQL, optimizing large datasets hosted on Azure for model training and inference. Led and mentored a team of 4 engineers, overseeing technical design, code reviews, and delivery timelines while collaborating closely with stakeholders to exceed client expectations.
Associate Data Analyst
INNODATA India
Jun 2025 - Nov 2025
Enhanced healthcare domain expertise through extensive collaboration with healthcare operations teams, gaining valuable insights into their intricate processes. Gained hands-on experience in deploying analytics projects, including data preparation and analysis. Analyzed data to extract coordinates from structured data, integrated them into scripts, and isolated the program to measure the confidence score of the extracted text. Generated diverse reports utilizing analytical techniques to evaluate product quality, contributing valuable insights for informed decision-making processes. Developed and maintained automated solution that reduced manual effort for data extraction, transformation and loading processes by 50%. Involved in daily SCRUM meetings to provide status updates and ensure project alignment.
Education
B.E in Computer Science and Cyber Security - Presidency University
2021 - 2025 · Afghanistan
Certifications
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Skills (35)
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