Prarthana Dwivedi

Product Manager

India3 yrs 11 mos experience
Highly Stable

Key Highlights

  • Expert in transforming loyalty data into actionable insights.
  • Proven track record in driving business transformation through analytics.
  • Strong cross-functional collaboration with product and engineering teams.
Stackforce AI infers this person is a Data Science professional specializing in SaaS analytics for loyalty and product insights.

Contact

Skills

Core Skills

Business AnalyticsData ScienceData Analytics

Other Skills

Python (Programming Language)Data VisualizationSQLPythonData AutomationCustomer Relationship Management (CRM)Stakeholder ManagementMicrosoft Power BITableauMachine Learning

About

I turn loyalty data into product decisions, and that's where data should live. Senior Data Science Analyst with 3+ years of enterprise-grade experience in loyalty & product analytics. I've built data pipelines, automated workflows, and delivered insights for global brands. My toolkit — SQL, Python, ML, Databricks, Tableau, Power BI — is broad by design, because real problems don't stay in one lane. I don't just report numbers. I help with what teams decide to build next. What sets me apart is the product thinking I bring to every analysis. I work cross-functionally with product, engineering, and client teams — as a strategic partner. Whether it's cohort modelling, churn prediction, KPI design, or pipeline automation, I make sure every output answers one question that actually matters: so what do we do about it? If you're working on something ambitious and need someone who brings both technical depth and product instinct to the table, let’s connect at- prarthana.dwivedi06@gmail.com

Experience

3 yrs 11 mos
Total Experience
3 yrs 11 mos
Average Tenure
3 yrs 11 mos
Current Experience

Capillary technologies

3 roles

Product Analyst - aiRA

May 2026Present · 1 mo

Senior Analyst - Data Science

Promoted

Jul 2025Present · 11 mos

  • ➤ As a Senior Data Analyst, I own the end-to-end delivery of analytics for global enterprise programs, acting as a strategic partner to product and engineering teams to align data initiatives with business priorities.
  • ➤I lead cross-functional collaboration within Agile sprints, managing complex dependencies and risks while mentoring a team of analysts on advanced modeling and communication best practices.
  • ➤My focus is on driving business transformation through the design of standardized BI dashboards and predictive frameworks that enable executive decision-making for high-profile clients. By establishing version-controlled workflows and automated governance, I have ensured the scalability and reliability of insights used in strategic roadmap planning.
  • ➤Developed trend models, segmentation reports, cohort analyses, and retention analyses that gave client teams clear visibility into customer behaviour patterns, loyalty drivers, and churn signals
Business AnalyticsPython (Programming Language)Data Science

Data Analyst

Jun 2022Jun 2025 · 3 yrs

  • ➤ Took full ownership of end-to-end analytics delivery for Enterprise clients — independently designing insight frameworks that shifted client conversations from reporting to strategic decision-making.
  • ➤Proactively redesigned legacy analytical pipelines, building models capable of processing 10B+ transaction records and 136M+ customer rows — anticipating scale challenges before they became business blockers.
  • ➤Recognized executive teams lacked forward-looking visibility and built forecasting and scenario models — now used in strategic planning.
  • ➤Consistently brought product thinking into every analysis — reframing every output around "so what do we do next?" and directly influencing product roadmap decisions across multiple global programs.
  • ➤Drove full-scale automation overhaul — redesigning 50+ data pipelines and 25+ reporting workflows, cutting manual reporting effort by ~80% across multiple global enterprise brands.
  • ➤Architected SQL/Python automation frameworks with integrated data quality monitoring — eliminating pipeline failures before they surfaced in client-facing deliverables.
  • ➤Independently established version-controlled analytics governance workflows — improving cross-team traceability, reporting consistency, and audit-readiness at scale.
  • ➤Built scalable data solutions supporting loyalty ecosystems serving millions of users globally across aviation, retail, hospitality, and consumer goods.
  • ➤Stepped into a de facto team lead role — Voluntarily built a mentorship structure for junior analysts — upskilling the team on modelling, visualization, and communicating insights to non-technical stakeholders.
  • ➤Positioned myself as a strategic thought partner to product, engineering, and global client teams — consistently earning trust as the go-to analytical voice in high-stakes conversations.
Business AnalyticsPython (Programming Language)Data AnalyticsData Science

Education

Shri G S Institute of Technology & Science

Bachelor of Technology - BTech — Mechanical Engineering

Jan 2018Jan 2022

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