Pinakin Ariwala

Pinakin Ariwala specializes in turning complex questions into actionable insights, intelligent systems, and scalable data solutions.

As Vice President of Data Science & Technology at Maruti Techlabs, he leads data-driven product strategy, customer engagement, and delivery execution. He focuses on helping organizations move from intuition-led decisions to structured, data-backed approaches using analytics, machine learning, and modern data platforms.
 

Background

With over 20 years of experience, he has delivered 25+ high-impact projects across Agile, Iterative, and Waterfall methodologies, adapting to diverse business needs.

He has worked closely with global clients, including onsite collaboration in the US, acting as a bridge between business stakeholders and offshore engineering teams to ensure alignment and successful delivery.

A significant part of his work involves designing and implementing data pipelines, analytical systems, and intelligent automation frameworks. He has built and enhanced systems, including automated decisioning and optimization engines and scalable analytics platforms, that deliver real-time insights and drive continuous improvement.

He has also been actively involved in pre-sales and solutioning, contributing to project proposals and estimates, and translating business requirements into scalable, outcome-driven solutions.

His experience spans multiple domains, including automotive, manufacturing, home security, video surveillance, and finance, enabling him to bring strong contextual understanding to data-driven problem-solving.
 

Current Focus

He currently leads a team of 25–30 professionals, focusing on:

• Delivering data science, analytics, and AI-driven solutions
• Designing scalable data pipelines and analytical systems
• Driving adoption of data-driven decision-making
• Supporting pre-sales with data-led solutioning and estimations
• Building automation using AI, ML, and RPA
   

Expertise and Skills
 

• Data Science & Machine Learning
• Business Analytics & Insight Generation
• Data Engineering & Scalable Pipelines
• Workflow Automation & Intelligent Systems
• End-to-End SDLC & Project Delivery
• Pre-sales & Solutioning
   

Technologies

Snowflake, Domo, dbt, SQL, .NET, Salesforce, Java, along with modern data stacks, APIs (Stripe, Twilio), and cloud platforms.

He ensures that data, AI, and intelligent systems are not just implemented—but drive real, scalable impact across the business.