AI, Tech & Analytics Leader Delivering Enterprise-Scale Strategy and Execution

Growth Hacker | MarTech Leader | Tech Leader | Data & AI Strategist | Martech Architect | Growth Hacker

  • 15+ years in Tech, Data Analytics

  • A total of 5+ years in AI/ML & Martech technologies

  • Built enterprise AI/ML systems, personalization engines, automation stacks, Recommendation Engine, Propensity Modelling etc

  • Leadership roles at Angel One, Dentsu Group, Network18, Zee, etc.

  • Deep experience in Growth, Product, Data Strategy, AI workflows, MLOps

About me...

What I Do...

AI & Machine Learning

  • Build enterprise AI workflows and multi-agent systems using LLMs, embeddings, and retrieval pipelines.

  • Develop predictive models and recommendation engines that drive personalization and user engagement.

  • Apply AI for lead qualification, content automation, multilingual video generation, and behavioral intelligence.

  • Architect production-ready ML pipelines aligned with modern RAG patterns and cloud-native deployment.

  • Implement governance, risk controls, and adoption frameworks to help organizations safely scale GenAI.

  • Integrate AI into marketing, product, and customer experience workflows for measurable business impact.

A digital dashboard displaying various analytics charts and graphs. There is a line graph showing user engagement over time on the left, a section with total revenue marked as $74K, and bar charts illustrating user statistics by region. The central section highlights users in the last 30 minutes, focusing on different countries such as the United States, Canada, India, Pakistan, and Brazil.
A digital dashboard displaying various analytics charts and graphs. There is a line graph showing user engagement over time on the left, a section with total revenue marked as $74K, and bar charts illustrating user statistics by region. The central section highlights users in the last 30 minutes, focusing on different countries such as the United States, Canada, India, Pakistan, and Brazil.

Analytics

  • Build unified analytics ecosystems integrating GA4, AppsFlyer, CRMs, ad networks, and internal data stores.

  • Deliver NLQ-driven dashboards and insight layers enabling teams to explore data conversationally.

  • Engineer ETL pipelines and real-time reporting systems for high-speed, insight-driven operations.

  • Deploy MMM, attribution models, cohort analysis, and experimentation measurement frameworks.

  • Use predictive analytics and lead propensity models to boost acquisition, retention, and revenue.

  • Guide organizations in transitioning to privacy-first analytics and growth measurement.

  • Implement CDPs, segmentation frameworks, and dynamic personalization engines across digital ecosystems.

  • Lead MarTech integrations—GA4, MMM, automation workflows, attribution systems—to improve full-funnel performance.

  • Build experimentation systems (A/B, MVT) and CRO playbooks that optimize UX, conversion rates, and ROI.

  • Design AI-powered content modules, messaging engines, and adaptive user journeys.

  • Create marketing automation stacks that orchestrate triggers, scoring, and lifecycle engagement.

  • Drive measurable uplift for fintech, media, OTT, real estate, and retail brands through data-led Martech solutions.

MarTech

Designing Intelligent Systems That Automate, Predict, and Personalize at Scale

Transforming Data Into Decisions Through Modern Measurement, Modeling & Insight Systems

Engineering Personalized, Measurable Customer Journeys Across Channels & Touchpoints

A digital dashboard displaying various analytics charts and graphs. There is a line graph showing user engagement over time on the left, a section with total revenue marked as $74K, and bar charts illustrating user statistics by region. The central section highlights users in the last 30 minutes, focusing on different countries such as the United States, Canada, India, Pakistan, and Brazil.
A digital dashboard displaying various analytics charts and graphs. There is a line graph showing user engagement over time on the left, a section with total revenue marked as $74K, and bar charts illustrating user statistics by region. The central section highlights users in the last 30 minutes, focusing on different countries such as the United States, Canada, India, Pakistan, and Brazil.
Technology

Building Modern Digital Platforms, High-Scale Architectures & Enterprise-Ready Systems

  • Architect headless CMS platforms, microservices, and cloud-ready infrastructures for high concurrency.

  • Engineer OTT and content-delivery platforms with strong caching, CI/CD, and performance tuning.

  • Develop APIs, backend systems, ingestion layers, and mobile-first experiences for enterprise applications.

  • Lead full-stack teams across frontend, backend, data, and mobile to deliver complex digital products.

  • Integrate Redis, Memcache, MongoDB, MySQL, Laravel, and JS frameworks to build scalable foundations.

  • Deliver technology modernization programs that combine legacy systems with contemporary architectures.

Work Experience

  • Analytics & Technology Consultant | Neil Patel Digital

  • DVP - Growth Hacker | Angel One

  • Vice President - Analytics & Technology | Dentsu Group

  • Technology Lead | Network 18 Pvt Ltd

  • Analytics & Technology Lead | Lintas Pvt Ltd

  • Project Lead | Zee Entertainment Enterprises Ltd

  • Technology Lead | Experience Commerce Pvt Ltd

  • Assitant Professor | L.N. Group of colleges

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Get in Touch

Connect to explore data-driven strategies and innovative solutions.

or

abhishekkbalsara@gmail.com

+91 - 9619204315

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