Sumitra B.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Clinical trials data management and clinical analytics

Regulatory document generation and clinical reporting

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Classification

Text Summarization

Text Generation

Freelancer Overview

HealthCare AI Clinical Specialist / Clinical Data Management & AI Applications (automated QA, anomaly detection, intelli. Professional background includes roles such as Clinical Data and AI Management Specialist and Dental Surgeon. Core strengths include OpenClinica, Medidata Rave, and Oracle Clinical. Education includes Bachelor of Dental Surgery, N T R University of Health Sciences and Certification, Clinnovo Research Labs. AI-training focus includes data types such as Text and Document and labeling workflows including Classification and Text Summarization.

Labeling Experience

GenAI-assisted regulatory and clinical document generation for compliance-ready reporting

Don't discloseDocumentText Summarization

Contributed to AI-enabled processing of regulatory and clinical documents as part of clinical data workflows. Leveraged generative AI for document generation aligned with clinical trial and compliance needs. Supported intelligent document processing concepts to streamline clinical reporting outputs. • Regulatory document generation using GenAI • Intelligent document processing for clinical reporting • Automating creation of structured outputs from clinical data • Improving turnaround time for compliance-ready documentation

Present

HealthCare AI Clinical Specialist / Clinical Data Management & AI Applications (automated QA, anomaly detection, intelligent query management, automated coding and reconciliation)

TextClassification

Clinical data management activities aligned with dataset preparation and labeling-like quality steps for AI/analytics use. Implemented automated quality checks and reconciliation concepts to improve the consistency and correctness of clinical records. Supported clinical summarization and regulatory document generation using generative AI concepts. • Data validation and cleaning to identify inconsistencies • Query management to resolve missing/incorrect entries • Medical coding alignment for standardized terminologies (MedDRA/WHO Drug) • Automated data reconciliation and summarization for reporting

Present

Education

Work History