Reetika Chaturvedi

About Reetika Chaturvedi

Analytics & Data Product Leader with 8+ years of experience turning messy data into scalable, decision-driving products. My work sits at the intersection of data science, BI, and product — defining KPIs and North Stars, running experiments, and building analytics platforms and dashboards that non-data teams actually use.I enjoy the overlap of ML, UX, and business strategy — whether that’s scoping a model, simplifying a dashboard, prioritizing analytics roadmaps, or deciding what should (and shouldn’t) get built next.Recent impact highlights• Marketing Product Performance platform (Citizens): standardized hundreds of fields into a clear KPI taxonomy, automated SQL/Python pipelines, and enabled self-serve insights — reducing manual reporting by ~40% and improving a key campaign by 38%.• Credit application risk rules (Citizens): consolidated geo, channel, and behavioral data to flag high-risk DMAs; policy rollout reduced fraud exposure from 49% to 5%.• Subscription-shift analysis (insightsoftware): built SQL/Tableau cohort analyses to identify accounts likely to move from perpetual to monthly plans, guiding targeted outreach and revenue-mix optimization.• Sentiment & feedback analytics (insightsoftware): applied NLP techniques to Salesforce notes and survey data to surface root causes of low engagement and align Product and GTM teams on fixes.What I’m good at• Framing ambiguous problems into clear analytics products, experiments, and decision frameworks • Defining KPIs, success metrics, and instrumentation; A/B testing and causal analysis • SQL- and Python-based analytics, forecasting, experimentation, and data modeling • Translating complex outputs into dashboards, tools, and narratives that PMs, marketers, operators, and executives act on • Partnering with product, engineering, and business teams in agile environments (Jira/Confluence) to deliver scalable data solutionsWhat I’m exploring• Senior Data Scientist or Analytics Manager roles with real product ownership • Data Product / Product Analytics roles where analytics and BI are core to strategy and execution Let’s connect if you’re building data-driven products, scaling analytics or ML in production, or rethinking how teams consume and act on insights.

Experience

1. Senior Data Scientist- AVP

   Citizens

   Apr 2023 — Present · US

   Owned analytics product roadmaps for marketing and risk decision-support, prioritizing dashboards, KPI frameworks, and forecasting tools based on business value, data readiness, and stakeholder needs- Partnered with Product, Engineering, Marketing, and Risk teams to translate ambiguous business problems into scalable analytics solutions, metrics, and technical requirements- Designed and maintained BI dashboards (Tableau) and self-service analytics used by business and executive stakeholders to monitor performance, risk, and campaign effectiveness- Defined KPIs, success metrics, and data quality standards, establishing validation checks and automated monitoring to ensure accuracy, consistency, and governance compliance- Built and evaluated experimentation frameworks (A/B testing, causal inference) to measure product and campaign impact, driving a 38% lift in targeted performance- Developed and validated forecasting and time-series models to support demand planning, budget allocation, and strategic decision-making- Designed fraud and risk detection rules across large geographic and behavioral datasets, contributing to a reduction in fraud exposure from 49% to 5%- Collaborated with data engineering teams on SQL- and Python-based pipelines, ensuring scalable data ingestion, transformation, and reporting workflows- Communicated insights and recommendations through executive-ready narratives, dashboards, and documentation to drive adoption and informed decision-making- Operated in regulated financial services environments, balancing innovation with compliance, privacy, and security requirements.

Education

• The IIS University ( International College for girls)

  Banking, Insurance and Equity Services, Finance, General

• Northeastern University

  Master's degree, Data analytics

  2019 — 2021

• University of Rajasthan

  Master's degree, Business/Commerce, Finance

• University of Rajasthan

  B.Com Honours, Economic Administration and Financial Management