Sandeep P.

Key Skills

Software

No software listed

Top Subject Matter

GenAI chatbot workflows and retrieval (RAG) for engineering process insights

Healthcare IT workflows for Medicaid enrollment processing

Healthcare IT data workflows and compliance for clinical systems (HMS)

Top Data Types

Text

Document

Top Task Types

Data Collection

Entity (NER) Classification

Freelancer Overview

Lead business analyst for a RAG-based GenAI platform (Lambots) focused on conversational chatbot evaluation and pipeline. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Jira. Education includes Bachelor of Engineering, Jawaharlal Nehru Technological University (2008). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Lead business analyst for a RAG-based GenAI platform (Lambots) focused on conversational chatbot evaluation and pipeline requirements

Text

Led requirement definition and benchmark evaluation for a RAG-based GenAI chatbot platform used for engineering conversational use cases. Validated LLM outputs for accuracy and relevance by defining test criteria and running domain-expert benchmarks to reduce hallucinations. Monitored response-quality metrics and user engagement to support continuous improvement of retrieval and response generation pipelines. • Defined functional requirements for data ingestion, embedding generation, multimodal indexing, and retrieval pipelines across 100+ data sources • Established benchmark testing with domain experts and reduced hallucinations by 40% • Built executive dashboards to report user satisfaction (85%) and guide product roadmap decisions • Incorporated user feedback and test results to improve model response quality and reduce irrelevant responses

2025 - 2026

Lead Business Systems Analyst (Cognizant) delivering Medicaid FACETS enhancements with structured requirements

Data Collection

Drove Agile delivery for Medicaid system enhancements that included transforming business workflows into structured execution artifacts for development teams. Translated enrollment and adjudication workflow rules into functional specifications that enabled accurate downstream data handling and operational analytics. Coordinated sprint priorities and design sessions to ensure business requirements were implemented correctly in production. • Created epics and managed Jira user story workflows for FACETS Medicaid enhancements • Analyzed and standardized Medicaid enrollment workflows to maintain accurate member records for 1M+ beneficiaries • Bridged Illinois Medicaid business needs with technical execution during detailed design sessions • Ensured 100% on-time epic closures and production deployment

2024 - 2025

Senior Consultant (Qatar Airways) defining requirements and validating clinical data workflow improvements

Authored and aligned clinical system enhancement requirements by converting clinical and admin needs into BRD and FRD documentation for Hospital Management System usability improvements. Performed SQL-based analysis and Python data validation to identify workflow inefficiencies in clinical datasets. Ensured regulatory compliance (HL7, DICOM, GDPR) to maintain correct clinical data handling in implemented changes. • Produced BRD and FRD for HMS enhancements aligned with end-user needs • Conducted SQL-based trend analysis and Python validation of clinical datasets • Verified compliance across implemented changes with HL7, DICOM, and GDPR • Automated manual processes at Qatar Airways Medical Centre, reducing data entry errors by 65% and improving accuracy

2023 - 2024

Senior Business Analyst (Conduent) translating business rules into structured inputs for ML predictive models

DocumentEntity (NER) Classification

Translated pharmaceutical rebate and pharmacy claim adjudication rules into structured BRD/FRD specifications used as inputs for machine learning predictive modeling. Conducted advanced SQL analysis on drug rebate and pricing data to support operational improvements and model-ready feature understanding. Coordinated code review and production rollouts while ensuring rule correctness and readiness for downstream model development. • Converted complex pharmaceutical rebate rules into BRD and FRD documentation • Mapped pharmacy claim adjudication rules and data attributes into inputs for ML-based predictive modeling • Coordinated code review and supported production rollouts, reducing deployment issues by 25% • Mentored QA team to improve defect resolution and raise test coverage by 20% prior to release

2022 - 2023

Senior Business Analyst (UST Global) building data mapping and automation pipelines for airline integrations

Data Collection

Supported airline integration and automation efforts by analyzing API request/response data and improving mapping and feature extraction workflows used for downstream processing. Applied Python-based automation to booking and ticketing processes to reduce manual intervention and improve data consistency. Performed complex SQL analysis to reduce data discrepancies and deliver actionable insights for integration efficiency improvements. • Analyzed airline API requests/responses (XML/JSON) for improved data mapping and feature extraction • Built or improved web scraping workflows for gathering and structuring integration-relevant data • Automated booking and ticketing processes via Python to reduce manual steps • Reduced data discrepancies by 20% using complex SQL queries for in-depth analysis

2019 - 2022

Education

Work History