Avinash User

Run discovery-to-delivery for 16+ SMB and mid-market clients, conducting user interviews, mapping customer journeys and segmenting users to assess opportunities and prioritise features. Architect and deploy automated workflows on AI agents and chatbots using low-code platforms, and configure, integrate and optimise multi-platform CRM systems.

Diagnosed user friction across 7 AI-enabled workflow features and 1,200+ use cases using SQL and Python, synthesising qualitative and quantitative findings to prioritise model and UX improvements. Built test frameworks and iterative evaluation cycles for AI agents, raising conversational accuracy by 18% across 10,000+ evaluated LLM responses, and delivered fortnightly dashboards and executive summ

Diagnosed workflow and integration gaps across 200+ APMEA accounts, collaborating with sales, engineering and product to cut pipeline cycle time by 33% (21 to 14 days). Delivered 105% of MEA commercial targets month-on-month and achieved the team’s highest close rate (up 20% across Q2–Q3 2023) through data-informed positioning and client engagement.

Led technical and operational onboarding across 90+ multi-market accounts, designing scalable CRM/helpdesk workflows with product and growth teams. Exceeded sales targets by 40%, generating AUD $170K+ in Q3 2021 revenue, and grew client engagement 15% over two years through iterative workflow optimisation.

Scoped and ran a structured product simulation for an eCommerce checkout feature, leading user research and discovery, defining requirements and acceptance criteria, and translating customer insights into a prioritised backlog. Prototyped flows in no-code tools and defined success metrics across adoption, conversion and experience quality.

Master of Business Analytics with a focus on Data Science Innovation and Marketing, completed in December 2025.

Bachelor of Technology in Electrical & Electronics Engineering, completed in October 2020.