Sushmita Shetty

Designed and deployed enterprise Tableau dashboards used across 50+ Headspace centres nationally, enabling real-time performance data access and reducing manual ad hoc reporting. Built structured KPI reporting that identified service bottlenecks and waitlist trends, contributing to a 25% reduction in average patient wait times.

Built interactive Tableau dashboards for client sales, performance, and operational reporting, improving visibility into key metrics and enabling faster, data-driven decisions. Optimized internal reporting processes by streamlining recurring workflows, reducing preparation time and improving team efficiency.

Built Python-based image classification models using OpenCV and PIL, achieving 90%+ accuracy through exploratory analysis and iterative model refinement. Reduced model deployment time by 35% by developing reproducible end-to-end ML pipelines with Docker and Kubernetes.

Built and deployed enterprise chatbot solutions using Microsoft LUIS, IBM Watson Assistant, and Google Dialogflow across website and service desk use cases, supporting 3+ client implementations and reducing manual support effort. Analyzed 10,000+ chatbot interactions to identify drop-off patterns and refine conversation flows.

Developed automation libraries and operational reporting tools for power and substation systems, reducing manual effort by an estimated 30% and improving process consistency across sites.

Completed foundational training in software development, RDBMS, testing methodologies, and collaborative development practices.

Master of Data Science degree from Monash University, completed from 2021 to 2022.

Bachelor of Engineering in Instrumentation Technology from Visvesvaraya Technological University, completed from 2012 to 2016.