Global Analytics and Performance Manager - Wella - London, UK
(2023-10)
- Applied advanced statistical modelling and predictive analytics to marketing and commercial optimization problems
- Worked as the primary interface between senior business stakeholders (Marketing, Sales, Digital, Legal) and data delivery squads, translating asks into user stories
- Designed and implemented a global marketing measurement framework across web, ecommerce, CRM and paid media channels, enabling structured ROI evaluation, incrementality assessment, and budget reallocation decisions
- Led experimentation and funnel optimization initiatives across digital customer journeys, partnering with product and engineering teams to improve front-end experience, conversion, and engagement
- Embedded governance for marketing investment effectiveness across digital and offline channels
- Led dashboard and report rationalization, retiring redundant assets and improving self-serve usability for 500+ users
- Embedded adoption and value tracking (usage, decision impact, time-to-insight), improving insight delivery speed by ~40%
- Designed incrementality and experimentation frameworks improving campaign ROI by 18%
Senior Data Consultant - Department for Education
(2023-05 - 2023-08)
- Led cross-functional teams of 75+ national-level data product governance across multiple policy and operational domains, covering intake, prioritization, lineage, and quality gates
- Designed business-layer-first data models enabling consistent KPIs and trusted performance reporting for senior civil servants and ministers; reducing data inconsistencies by 30%
- Operated as the translation layer between policy stakeholders and data/engineering teams, ensuring feasibility, readiness, and compliance before build
- Established design standards, documentation, and quality expectations to enable scalable, self-serve analytics delivery
Manager Analytics (Net Revenue & Pricing) - PepsiCo
(2022-09 - 2023-04)
- Led a central analytics function team of 20+ analysts, embedded across product, marketing, operations, finance, and supply chain teams, ensuring consistency in ways of working, metrics, and insight quality
- Integrated multi-source data pipelines using AWS, Snowflake, and Python
- Led Marketing Mix Modelling across 20+ markets, identifying underperforming channels and driving +15% market share growth
- Developed experimentation and elasticity models improving pricing decision accuracy by 22%
- Built pricing elasticity and marketing response models to quantify incremental ROI and guide cross-channel investment rebalancing across 20+ markets
- Embedded experimentation frameworks and forecasting models for revenue optimization
- Delivered pricing and performance dashboards with clear value cases and P&L linkage, supporting margin protection and long-term growth
- Built executive dashboards and models for customer behavior and segment analysis— informing strategic customer acquisition and retention plans using Power BI and Tableau
- Orchestrated Marketing Mix analysis using Python to assess the ROI of past communication and promotion strategies, contributing to a remarkable market share growth of +15%
Data Science Manager - HP (R & D)
(2021-03 - 2022-09)
- Led a global team of 25+ ML scientists, engineers, and architects delivering customer journey analytics and machine learning products across 20+ markets
- Led AI & ML development for customer behaviour modelling, improving retention by 19%
- Designed end-to-end funnel diagnostics, improving setup and activation rates by 14%
- Designed and deployed end-to-end ML pipelines using Databricks, Spark, Python, feature stores, and real-time scoring
- Improved activation and retention metrics through ML-based optimization
- Deployed forecasting models using Databricks and Python, enhancing revenue predictability and sales performance tracking
- Developed data products combining digital, behavioural, and sales datasets, enhancing product lifecycle understanding and go-to-market strategy
- Translated complex modelling outputs into clear, consumable insights for senior stakeholders
Manager Analytics (FinTech) - KreditBee (startup)
(2019-02 - 2021-02)
- Owned large-scale marketplace-like AI transformation across a high-growth fintech serving millions, leading 100+ cross-functional teams across analytics, engineering, and products
- Created Principal-at-Risk (PAR), roll rate, and vintage reports to monitor NPA and delinquency trends, directly supporting regulatory and investor reporting
- Built production-grade ML systems for acquisition, credit decisioning, delinquency prediction (PAR/roll-rate), and lifecycle modelling
- Acted as a strategic link between product, data, finance, and investor teams, ensuring alignment on growth and risk mitigation goals
- Created investor-ready reporting (NPA, delinquency, PAR) used for regulatory compliance and funding
- Directed production-grade ML delivery across acquisition, credit decisioning, and customer lifecycle
- Forecasted demand, optimized supply allocation, and improved match rates between products and user needs
Scrum Master/ Data Analyst - Tata Consultancy Services
(2016-07 - 2017-06)
- Led digital platform analytics, experimentation, and modelling. Supported product, engineering, and data teams delivering compliant and scalable digital systems
- Implemented Agile Scrum practices, improving team velocity by 20%
- Built insights dashboards tracking sign-ups, usage, and conversion behaviour for product stakeholders
- Delivered digital tracking foundations, web/app analytics implementations, and data engineering support for global platforms
- Designed and implemented executive dashboards that visualized key visitor metrics such as sign-ups and purchasing behavior, enabling informed strategic decisions
- Experience in agile methodologies and practices, including sprint planning and retrospectives
Senior Software Engineer/ Senior Business Analyst - Capgemini
(2014-03 - 2016-04)
- Led a team of 12 senior experts in front-end development, analytics, experimentation, and machine learning to deliver innovative solutions
- Designed real-time device monitoring dashboards, improving performance by 30%
- Drove product–legal–engineering collaboration to ensure ethical and compliant customer data use
- Delivered Lean/Kaizen process improvements increasing delivery speed and reducing operational waste
- Delivered data-driven productivity improvements for the GE project through detailed analysis and solution design
- Collaborated with product owners and engineering teams to translate business needs into technical solutions
- Developed best practices, documentation, and compliance materials to streamline project execution by applying Lean and Kaizen methods
- Led troubleshooting efforts to identify and resolve technical issues, reducing downtime by 20%
- Implemented new software solutions to streamline workflow processes, resulting in a 15% increase in productivity
- Conducted regular system audits and maintenance tasks to ensure data security and compliance with industry regulations
- Consistently took ownership of software quality assurance and maintenance
Technical Associate - Wipro
(2013-07 - 2014-02)
- Led troubleshooting efforts to identify and resolve technical issues, reducing downtime by 20%
- Implemented new software solutions to streamline workflow processes, resulting in a 15% increase in productivity
- Conducted regular system audits and maintenance tasks to ensure data security and compliance with industry regulations
- Consistently took ownership of software quality assurance and maintenance
