PROFESSIONAL EXPERIENCE

💼 Data Scientist @ 4D Global Inc., June 2025 – Present.

As a Data Scientist at 4D Global Inc., I contribute to the digital transformation of healthcare Revenue Cycle Management (RCM) by designing and deploying data-driven and AI-powered systems on Google Cloud Platform (GCP).

My work spans data engineering, analytics, and applied AI, including:

• Designing and maintaining data warehousing solutions using BigQuery, modeling structured healthcare data such as claims, EOBs, SOPs, and payer interactions for analytics and downstream AI use cases.

• Building and orchestrating ETL pipelines using Apache Airflow, enabling reliable ingestion, transformation, and validation of operational and historical RCM data from multiple sources.

• Developing LLM-powered internal systems using open-source models, incorporating Retrieval-Augmented Generation (RAG), vector databases, and embedding techniques tailored for healthcare workflows.

• Currently working on an EOB parsing and intelligence engine, transforming semi-structured payer documents into structured, machine-readable data to support denial analysis and automation.

• Building an Agentic AI–based Claim Denial Resolution Copilot, designed to assist operations teams with root-cause identification, SOP-grounded explanations, and next-best-action recommendations.

• Applying Python, TensorFlow, Hugging Face Transformers, and SQL to develop predictive, NLP, and GenAI solutions that improve denial management efficiency and decision-making.

• Ensuring all systems are designed with HIPAA and SOC 2 compliance considerations, focusing on data security, auditability, and responsible AI usage.

💼 Data Science Mentor @ Guvi HCL., June 2025 – Present.

• Contributing as a bilingual (Tamil) technical mentor by delivering structured learning content and mentoring support across AI, data, and programming tracks.

• Created and delivered a recorded module on “ChatGPT for All” (1.5 hours), covering practical Generative AI concepts, prompt usage, and real-world applications in a learner-friendly manner.

• Developed and delivered Data Wrangling with Python content (13+ hours), focusing on data cleaning, transformation, exploratory data analysis, and best practices using real datasets.

• Currently contributing to the “100 Days of Python” program (30+ hours), supporting Python fundamentals, problem-solving patterns, and industry-relevant coding practices.

• Supporting learners through content clarification, structured practice guidance, and conceptual mentoring, helping bridge theoretical understanding with practical application.

💼 Senior Executive @ Medrona Inc., March 2023 – May 2025.

• • Analyzed claim denial trends using Excel pivot tables and Python (Pandas), identifying top denial codes and payer-specific patterns that helped reduce denials by 15% within a quarter. 

  • Dashboarding (using Power BI) for real-time denial classification, and performance tracking, leading to a 20% improvement in resolution turnaround. 

  • Extracting and preprocessing the structured data from EHR, EMS, PMS for data visualization and predictive modelling.

  • Extracting structured information from unstructured clinical or administrative text in EHR systems 

  • Used SQL, Python to clean and preprocess datasets from payer portals and billing systems.

  • Applied Named Entity Recognition (NER) to extract structured insights from unstructured clinical or administrative text within EHRs to support coding and billing accuracy. 

  • Conducted root cause analysis on high-value unpaid claims using statistical methods (mean denial age, frequency distribution), helping stakeholders address systemic issues.

  • Led a process improvement initiative that reduced claim denial rates by 15% over 3 months through root-cause analysis and proactive provider communication.

  • Worked closely with cross-functional teams (billing, coding, and compliance) to ensure timely and accurate claim resolution .

  • Automated tasks using UiPath bots to enhance scalability in data entry tasks by reducing manual efforts which may leads to errors.

💼 Senior Executive @ CuroMS Inc., Feb 2021 – Sept 2021.

• • Supported revenue cycle operations through structured data analysis and reporting using Microsoft Excel.

  • Designed and maintained Excel-based dashboards to track claim volumes, processing status, and key operational metrics.

  • Analyzed trends in claim processing outcomes to identify bottlenecks and support operational decision-making.

  • Collaborated with internal teams to ensure accurate reporting and timely data availability for management reviews.
    
    

💼 Client Partner @ Access Healthcare Services, July 2019 – Jan 2021.

• • Performed data analysis across the Revenue Cycle Management (RCM) lifecycle, focusing on claim processing, follow-ups, and reimbursement trends.

  • Generated client-facing reports and performance insights using Excel to support operational transparency and SLA tracking.

  • Analyzed claim-level data to identify payer-specific issues, turnaround delays, and process inefficiencies.

  • Acted as a liaison between operations and clients by translating data insights into actionable observations.

EDUCATION

• Post-Graduation in Machine Learning & Artificial Intelligence.
  Imarticus Learning, 2024.

• B.E. Electrical and Electronics Engineering
  IFET College of Engineering, Anna University, 2017.

• Mathematics with Computer Science
  St. Paul Matriculation HR Sec School, 2013.