NEERAJ SHARMA

Project 1: Self Driving Car Project

• Directed high-volume, global labeling operations for autonomous driving vehicle (ADV) sensor data (LiDAR, camera, radar), managing daily workflows for over 500 million data points and ensuring precise annotation for AI/ML model training crucial for Waymo’s safety-critical systems. Orchestrated the end-to-end project lifecycle from ideation and design to resource allocation and execution, reducing overall project Turnaround Time (TAT) by 20%.
• Led and mentored a multidisciplinary team of 15+ geospatial analysts, data technicians, and ML engineers. Introduced Agile methodologies and targeted training programs that improved team productivity, resulting in a 25% reduction in Average Handling Time (AHT) for complex labeling tasks, significantly boosting throughput.
• Engineered and enforced rigorous data quality assurance protocols for complex geospatial datasets. Implemented automated validation tools that reduced data discrepancy error rates by over 90% and achieved a data accuracy rate of >99.8%, directly enhancing the reliability of mapping products and downstream AI/ML models.
• Translated complex engineering requirements from perception, prediction, and control teams into clear, actionable labeling guidelines and comprehensive policy documentation for a large-scale workforce of over 550+ annotators. Acted as the crucial bridge between R&D and operations, ensuring labeling strategies directly supported the rapid iteration cycles of AV software development.
• Conducted end-to-end experiments (from hypothesis generation to findings presentation) to identify key areas for process improvement and cost savings.
• Designed and executed a pilot for AI-driven automated labeling, demonstrating a 15% cost reduction per labeled unit (saving an estimated $250,000 annually) and an 8% improvement in labeling consistency, presenting findings to secure buy-in for wider rollout.
• Collaborated intimately with ML Engineers and Data Scientists to debug and enhance AI/ML model training for geospatial object detection and predictive analytics. Sourced, analyzed, and leveraged car running telemetry data (e.g., speed, GPS, sensor readings, driving patterns) to pinpoint subtle data anomalies and labeling inconsistencies, leading to a 10% improvement in model prediction accuracy.
• Performed critical business analysis to identify operational bottlenecks within the labeling pipeline, leading to the implementation of process optimizations that boosted throughput by 30% and reduced per-item labeling costs by 20%. Presented comprehensive ROI analyses and strategic recommendations to executive leadership for scaling global labeling initiatives, projecting over $1.5 million in annual savings.
• Managed project budgets exceeding $5 million for multiple geospatial and labeling initiatives. Proactively identified and resolved technical and logistical challenges within complex AI/ML model pipelines, significantly improving problem resolution TAT by an average of 40%, directly contributing to project cost-effectiveness and timely delivery.
• Total 4.5 Years

Project 2: Risk Adjustment Factor and Performance Optimization

• Diagnosed critical deficiencies across 17+ provider organizations, identifying an average of 15-20% unrealized revenue potential due to fragmented care coordination, sub-optimal HCC documentation, and inefficient patient scheduling within their Medicare and Medicaid populations.
• Provided foundational expertise in the evolving CMS HCC landscape, including direct guidance through the complex V24 to V28 model transition, educating leadership on projected financial impacts and necessary strategic shifts.
• Orchestrated the optimization of provider-patient interactions through the implementation of digital solutions, including enhanced EHR/EMR workflows and proprietary "Smart Form" tools, resulting in a 25% increase in compliant HCC capture at the point of care.
• Revolutionized patient engagement and care coordination by redesigning scheduling protocols for high-risk cohorts, achieving a 30% increase in Annual Wellness Visit (AWV) completion and critical follow-up appointments with PCPs and specialists for inpatient and telehealth encounter.
• Developed and deployed real-time physician performance tracking mechanisms, analyzing patterns of HCC condition addressed vs. missed (e.g., diabetes complications, hypertension, obesity) and usage of clinical decision support tools to drive targeted behavioral change.
• Integrated and interpreted diverse patient diagnostic data from EHR/EMR systems, ensuring comprehensive and accurate documentation of chronic conditions (e.g., lab results, imaging reports) to validate HCC coding specificity. (Addresses data consumption, documentation quality)
• Led in-depth data analysis and number-crunching from 10-15+ disparate systems (claims, EHR, lab, pharmacy), identifying and quantifying precise HCC care gaps and performance deficiencies.
• Designed and implemented dynamic, executive-level dashboards (e.g., Tableau, Power BI) to visualize and track Key Performance Indicators (KPIs) and Key Results Areas (KRAs), providing actionable insights for monthly strategic reviews.
• Pioneered the development and execution of tailored strategies to mitigate the industry-projected 5-8% RAF score reduction from the V24 to V28 transition, stabilizing overall RAF scores and preventing over $20M in potential annual revenue loss across client portfolios.
• Drove a sustainable improvement cycle, consistently analyzing monthly care and performance gaps to refine strategies, culminating in an average 95%+ achievement of annual revenue targets for all partner organizations.
• Ensured rigorous adherence to CMS guidelines and prepared organizations for potential Risk Adjustment Data Validation (RADV) audits, strengthening internal controls and achieving 90-95% rectification of identified coding deficiencies.
• Facilitated seamless cross-functional collaboration among 8+ key departments (Finance, Operations, IT, Clinical Analytics, Compliance, Revenue Cycle) to align all stakeholders with value-based care objectives and HCC optimization.
• Contributed to business development by identifying potential opportunities in the Payer Payment Integrity space through market trend analysis, leveraging deep understanding of risk adjustment nuances to propose new service lines.
• Automated critical reporting and data preparation tasks, enhancing operational efficiency by 40% and improving project margins by 10-15%, allowing clinical teams to dedicate more time to direct patient care.

Project 3: Orchestrator Project

• Solved data management challenge by Transforming the legacy manual data collection and validation process for 100+ care delivery organizations (CDOs) by developing a VBA and API based automated tool from scratch with over 100 macros.
• Integrated external APIs for real time data validation and fetching missing data for data enrichment like NPPES for NPI and taxonomy validation, USPS for provider practice address validation, and NUCC for provider specialty validation thereby enhancing data integrity.
• Automated the data validation and correction process by integrating AI prompts ,Python code inside excel for generating automated error reports and power BI dashboards, with quantified KPIs providing real time insights thereby streamlining the feedback loop for data correction and enhancing reporting and analytics.
• Reduced data discrepancy error rates from 82% to less than 0.5% within three months, significantly improving data quality for analytical and reporting purposes.
• Demonstrated exceptional problem-solving skills, technical expertise, and a clear understanding of data quality principles while delivering tangible and measurable quality improvements

Project 4: Call center workflow optimization

• Spearheaded a critical contact center optimization project for UnitedHealthcare's Medicare and Medicaid lines of business, impacting 100,000+ member calls monthly across diverse departments utilizing Genesys platform
• Conducted in-depth root cause analysis and implemented strategies and recommendations to reduce of high call volume, rerouting issues, and caller frustration related to IVR navigation, eligibility, claims, coverage, denial, prior authorizations, referrals, Pharmacy and Prescription, Billing and Payments,Health and Wellness Programs,Technical Support for Online Portals/Apps, General Information and Education, Care Coordination, Complaints and Grievances, Fraudulent Activity Concerns, Guidance on chronic conditions, Preventive care benefits etc.
• Utilized data analytics and caller journey mapping to drive decision-making and ensure alignment with customer service KPIs for improved operational efficiency and member engagement.
• Engineered and implemented process improvements and strategic solutions, including streamlined call routing and IVR enhancements, to significantly improve First Call Resolution (FCR) and reduce Average Handle Time (AHT).
• Achieved a quantifiable reduction in misrouted calls by over 30% and improved caller satisfaction scores by 56% leading to a more efficient and positive customer experience.

Project 5: M&R website improvements

• Initiated Comprehensive Digital Experience Analysis: Led a strategic review of UnitedHealth Group's Medicare Advantage website, systematically analyzing the end-to-end user journey and competitive landscape to identify critical areas for optimization.
• Identified Core User Pain Points: Conducted in-depth analysis of user interactions and content comprehension, pinpointing 3 primary pain points related to navigating complex plan types, understanding variable cost structures, and the multi-step enrollment process.
• Optimized Content for Enhanced Clarity & Conversion: Developed and implemented content strategies that clarified 10+ supplemental benefits (e.g., dental, vision, telehealth, fitness) , and simplified explanations of $0 monthly premium plans , directly addressing user confusion and increasing purchase intent.
• Streamlined Enrollment Pathways: Redesigned the presentation of 4 critical Medicare enrollment periods (Initial, Annual, Medicare Advantage Open, Special) and eligibility criteria, significantly improving user navigation and reducing perceived complexity in the enrollment process.
• Enhanced Cost Transparency & Predictability: Implemented solutions to clearly communicate Medicare Advantage cost components, including Part B premiums, deductibles, copayments, and the annual out-of-pocket maximum (MOOP) of up to $9,350 , empowering users with financial predictability.
• Improved Customer Retention through Value Articulation: Enhanced the clarity of ongoing plan benefits and the UCard® program for existing members, fostering greater satisfaction and contributing to sustained customer loyalty by reinforcing the value proposition.
• Ensured Robust Regulatory Compliance: Conducted meticulous review and integration of 15+ regulatory disclaimers and legal footnotes across the website, ensuring strict adherence to CMS guidelines and mitigating compliance risks.
• Delivered Data-Informed Strategic Recommendations: Provided a comprehensive report with 20+ actionable recommendations for digital content, user experience (UX/UI), and communication strategies, directly supporting client goals for market growth.
• Drove Measurable Business Impact: Contributed to a more intuitive and informative user experience, directly supporting the acquisition of new Medicare Advantage enrollees and the retention of existing customers by improving understanding and perceived value of plans.

Project 6: Automation of Healthcare claims processing

• As a program manager Led a healthcare claims process automation initiative by collaborating with 2 vendor partners, that integrated multiple OCR technologies (Tesseract and Abbyy) to digitize and process a daily volume of up to 20000 healthcare claims ranging from 5 to 500-pages claim files.
• Architected and implemented a document classification engine using Tesseract OCR, resulting in the automated segregation of diverse document types (HCFA, UB09, Dental, Correspondence) and a 95%+ reduction in manual sorting time.
• Engineered an automated data extraction and entry workflow using Abbyy OCR, which captured critical information from scanned documents with a >98% accuracy rate, significantly mitigating human error.
• Authored a guided set of rules and conversion logic for the OCR engine, ensuring compliance with predefined industry guidelines and maintaining data integrity throughout the automated workflow.
• Established a robust governance model with strategic quality checkpoints, real-time performance dashboards, and defined KPIs to ensure adherence to operational standards and project milestones.
• Drove a 150% increase in workflow throughput, while simultaneously reducing average claims processing time by 75% and lowering operational costs by 40%, eliminating the need for additional FTEs
• Collaborated with two vendor partners to develop and deploy an end-to-end automation solution, increasing claim processing throughput by over 150% and enabling the intake of greater workflow volume without additional headcount.

Project 7: Old age home Digital Strategy & User Engagement

• Diagnosed critical deficiencies in digital presence for an Indian old age home (2015-2017), identifying untapped opportunities to enhance social media engagement and revenue generation. Conducted comprehensive manual audits of existing website content, navigation, and social media profiles to establish a baseline.
• Leveraged Google Analytics to perform in-depth user behavior analysis, segmenting audience demographics, acquisition channels, and on-site conversion funnels. Uncovered key drop-off points on donation pages and identified top-performing content, informing strategic recommendations for website optimization.
• Utilized Google Search Console to analyze organic search visibility, identify high-potential keywords, and diagnose technical SEO issues impacting online discoverability. Formulated content optimization strategies that targeted relevant search terms like "old age home India" and "elderly care Hyderabad" to improve organic traffic.
• Formulated a data-driven social media engagement strategy, shifting content focus to heartwarming resident stories and daily activities. This approach, informed by website behavior insights, aimed to boost community building and online visibility by promoting authentic interactions.
• Engineered and implemented clear, trackable Google Analytics Goals to measure key conversion events (e.g., contact form submissions, donation clicks, brochure downloads). This provided quantifiable insights into user intent and the effectiveness of website calls-to-action (CTAs), leading to actionable design improvements.
• Developed and presented customized Google Analytics reporting dashboards to management, providing real-time insights into website traffic, user engagement, and conversion performance. Enabled data-driven decision-making for marketing spend and content strategy, streamlining feedback loops for continuous improvement.
• Identified and proposed specific revenue enhancement opportunities, including simplifying online donation flows and optimizing website content for donor conversion. Recommended a dedicated "Why Donate" section and prominent CTAs, informed by conversion funnel analysis, to improve fundraising effectiveness.
• Provided strategic guidance on implementing identified improvements, including a structured social media content calendar, website SEO best practices, and ongoing performance monitoring through established dashboards. Focused on fostering a culture of continuous digital optimization and measurable outcomes.

Project 8: Reverse Mortgage loan project

• Conducted comprehensive financial analysis and partial underwriting for reverse mortgage applications, assessing loan worthiness and long-term risk for a portfolio supporting Sunwest Mortgage Bank, USA. Meticulously reviewed diverse documentation, including SSN, home registration, county taxes, insurance, and loan applications, ensuring completeness and compliance for over 150+ loans monthly.
• Specialized in evaluating the unique eligibility criteria for reverse mortgage borrowers, verifying age, primary residency, and mandatory counseling completion to mitigate inherent long-term lending risks. Identified and flagged critical discrepancies in over 10% of applications, preventing potential future liabilities.
• Performed detailed property eligibility assessments, reviewing appraisal reports and title documents to confirm clear titles and optimal property condition for collateral value in reverse mortgage transactions. Ensured strict adherence to FHA (HECM) and internal lender guidelines, reducing property-related risk exposure by 15%.
• Applied advanced analytical techniques to assess borrower financial capacity for ongoing property obligations (taxes, insurance, maintenance), a crucial factor in reverse mortgages. This proactive risk identification contributed to a 5% reduction in post-origination default indicators related to property charge non-payment.
• Authored detailed pre-underwriting reports, meticulously documenting all findings, calculations, and identified risks for final underwriting approval. Streamlined the document verification process, contributing to a 10% improvement in initial loan package quality submitted to senior underwriters.
• Ensured rigorous adherence to US mortgage regulations (e.g., TRID, HECM guidelines) and internal compliance policies throughout the loan assessment and documentation review process. Maintained a 99% accuracy rate in regulatory checks, minimizing compliance-related rejections.
• Collaborated closely with full underwriters and loan officers to resolve complex loan discrepancies and structure eligible reverse mortgage solutions. Provided critical data and analysis that accelerated the underwriting decision-making process by an average of 2 days per loan for challenging cases.
• Developed an in-depth understanding of the nuances and complexities of reverse mortgage products, including interest accrual, non-recourse provisions, and maturity events. Leveraged this expertise to provide precise loan worthiness assessments, optimizing loan performance for the bank.