Ayush Thapa

Owns the integrity, consistency and usability of software and systems defect data across engineering programmes, delivering senior management reporting in Tableau and using Google Cloud data analytics tools to strengthen cross-tool reporting integrity.

Built data-driven market intelligence solutions and designed Marketing Mix Modelling frameworks and predictive forecasting models to identify high-value market opportunities.

Prepared, analysed and submitted commercial quotations and cost-reduction studies for new vehicle model changes on the Nissan account, and managed trial and service part order data cross-functionally.

Engineered Python automation pipelines for data validation and reconciliation, built advanced SQL queries and data pipelines for financial forecasting, and designed Tableau and Power BI dashboards for cost flows and data quality.

Optimised SQL queries across configuration and build analysis systems, developed Power BI and Tableau dashboards for build health and production KPIs, and managed BOM structuring and release for 250-300 parts per week.

Designed Power BI dashboards improving financial visibility for 10+ SME clients and implemented reporting automations reducing manual tasks by 35%.

Delivered KPI reporting and Agile documentation for 20+ concurrent bespoke engineering projects, improved delivery cycle efficiency by 30% through workflow redesign, and led cross-functional teams to deliver programme milestones.

Built Tableau dashboards tracking production readiness and throughput, reducing reporting lead time by 18%, and analysed manufacturing and logistics workflows to create SAP feasibility reports.

Delivered KPI dashboards and cost-performance reporting for six global automotive OEM clients and managed programmes worth £7M–£20M annually.

Mapped production and logistics processes, reducing scrap by 22%, and managed a daily project portfolio of 1-10 projects totalling $500K–$1M annual value.

Completed the Google Cloud Data Analytics Professional Certificate, covering data management, transformation, and visualization in the cloud.

Completed the Microsoft AI Engineering Professional Certificate.

Completed the AI & Machine Learning Specialisation in collaboration with Stanford University.

Completed the Generative AI for Everyone course.

Completed the AI Fluency: Framework and Foundations programme.

Completed the Claude 101 course.

Completed the Introduction to Claude Cowork course.

Completed the FinTech: Foundations & Applications of Financial Technology course via Coursera.

Completed the Python for Data Science, AI & Development course.

Completed the Google UX Professional Design Certificate.

Bachelor of Engineering in Aerospace Engineering from Kingston University.