Aditi Sharma

Associate Consultant

South Delhi, Delhi, India3 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Led product experiments that shaped user journeys.
Developed dashboards improving data visibility for teams.
Passionate about user-centric product solutions.

Stackforce AI infers this person is a Product Manager with expertise in Healthcare and SaaS.

Contact

Skills

Core Skills

Business AnalysisProduct ManagementData Analysis

Other Skills

Competitive AnalysisProduct DesignProduct Lifecycle ManagementProduct RoadmapData IntegrityProduct UsabilityCross-functional AlignmentPredictive AnalyticsData VisualizationMarket AnalysisMicrosoft Power BIRateGain Channel ManagerRateGain Hotel Booking EngineKey Performance IndicatorsUS Healthcare

About

Product-focused professional with 3.5+ years of experience driving business impact through data, user-centric design, and cross-functional collaboration. I led deep-dive analyses and product experiments that shaped user journeys and directly influenced strategic decisions for high-growth verticals. My core strength lies in translating complex data into intuitive, scalable product solutions that solve real user problems. Having worked closely with product, engineering, and design teams, I’ve contributed to feature roadmaps, driven backlog grooming, and helped launch experiences that improved key metrics like engagement, conversion, and retention. I bring a strong understanding of agile workflows, stakeholder alignment, and data-backed decision-making. I’m passionate about building products that sit at the intersection of business value and user delight, and I’m excited to keep growing in roles where I can own, drive, and scale meaningful product outcomes.

Experience

3 yrs 9 mos

Total Experience

3 yrs 9 mos

Average Tenure

3 yrs 9 mos

Current Experience

Zs

2 roles

Product Management - Associate Consultant

Nov 2025 – Present · 6 mos

SDET

Jan 2022 – Apr 2025 · 3 yrs 3 mos · Noida, Uttar Pradesh, India

At ZS, I contributed to the development and optimization of Zaidyn, the firm’s flagship AI-powered healthcare platform, by driving initiatives that combined data integrity, product usability, and cross-functional alignment. I operated at the intersection of product, engineering, and data science, helping shape scalable and clinically relevant solutions for a major US healthcare payer.
Key Contributions:
>Data-Driven Product QA: Acted as the “first user” of the platform during pre-release cycles—proactively identifying usability friction points and data integrity concerns across claims data workflows, provider analytics, and AI model outputs.
>Claims Data Expertise: Worked hands-on with payer claims data, designing data validation logic and translating complex healthcare business rules (e.g., parity checks, benefit eligibility, provider behavior) into workflows that aligned with client goals.
>Collaboration with PM & DS Teams: Partnered with product managers and data scientists to define edge cases, refine anomaly detection logic, and prioritize fixes based on business impact—enhancing both the model reliability and end-user trust.
>Tooling & Decision Support: Developed dashboards in Power BI/Tableau that surfaced recurring claim issues, flagged high-risk providers, and visualized AI predictions—improving visibility for both internal teams and external stakeholders.
>Agile & Product Lifecycle Ownership: Participated in sprint planning, backlog refinement, and user story reviews, helping ensure that product deliverables were aligned to both engineering feasibility and real-world healthcare workflows.

Product Lifecycle ManagementProduct RoadmapProduct ManagementData Analysis

Zomato

Senior Business Analyst

Apr 2025 – Jul 2025 · 3 mos · Gurugram, Haryana, India · On-site

Collaborated with Product Managers, Designers, Engineers, and Business Stakeholders to translate business problems into analytical solutions.
Conducted in-depth user behavior analysis to uncover friction points and recommend improvements to product flows and engagement strategies.
Developed dashboards and self-serve tools to empower teams with data visibility across user journeys, operations, and marketing efforts.
Collaborated on A/B testing frameworks and experiment design to validate hypotheses and optimize user experience.
Drive requirement gathering, data validation, and storyboarding for product and feature rollouts.

Competitive AnalysisProduct DesignBusiness AnalysisProduct Management

Rategain

Product Management Intern

Jun 2021 – Aug 2021 · 2 mos

Developed and contributed to the demand.ai module, leveraging predictive analytics to forecast travel demand up to 75 days ahead, enabling better capacity planning and operational optimization in the travel sector.
Conducted comprehensive competitive analysis during RateGain internship, evaluating market trends, product features, and strategic positioning of leading travel and digital marketing platforms.
Synthesized competitor insights to identify key differentiators and market opportunities, guiding product roadmap and go-to-market strategies.
Supported product roadmap creation and go-to-market planning for digital marketing analytics modules, collaborating closely with engineering, design, and cross-functional teams.
Designed wireframes and interactive dashboards using Figma, Power BI, and Tableau to enhance feature adoption, user onboarding, and decision efficiency.
Analyzed customer feedback and prioritized pain points, contributing to a 40% reduction in complaint volume and improved sprint prioritization.
Coordinated product roadmap planning and sprint execution for multiple initiatives with 10+ stakeholders, accelerating delivery cadence by 30%.
Hands-on experience with Agile/Scrum methodologies, backlog management, stakeholder communication, and user story definition in SaaS and travel tech environments.
Skilled in data analytics tools, including SQL, Python, Power BI, Tableau, as well as collaboration platforms JIRA, Confluence, and Git.

Competitive AnalysisProduct RoadmapProduct ManagementData Analysis