Nimantha Bandara is a results-driven Lead Data Scientist with 5+ years of experience in advanced analytics, AI initiatives, and business intelligence. Specialised in NLP, Machine Learning, and agentic AI systems built on modern cloud platforms. Proven track record driving 50% efficiency gains and 40% cost reductions.
Impact at a Glance
Delivering data-driven solutions with quantifiable business impact across industries.
Nimantha Bandara is a Sri Lankan Lead Data Scientist and AI Engineer currently serving as Lead Data Scientist at Mortar AI PVT LTD and as the Founder & CEO of DetaLabs AI (Pvt) Ltd. With expertise spanning Machine Learning, Natural Language Processing, Deep Learning, RAG pipelines, and agentic AI systems, Nimantha has led distributed data science teams across Australia and Sri Lanka, delivering production-grade AI solutions for enterprise clients. He holds a BSc (Hons.) in Applied Statistics from the University of Colombo and is currently completing an MSc in Data Science and Artificial Intelligence at the University of Sri Jayewardenepura.
Career Journey
As the founder of DetaLabs AI, I lead a venture dedicated to pushing the boundaries of artificial intelligence. We specialise in crafting intelligent AI agents designed to automate complex tasks, developing high-performance computer vision applications for insightful analysis, and building powerful machine learning solutions—from deep learning to neural networks—that turn data into actionable intelligence.
Mortar AI PVT LTD
Firehouse Technology
Firehouse Technology
OctopusBI
Sydpro (Pvt) Ltd
Technical Stack
Portfolio
A flagship AI platform supported by focused delivery work across prediction, resolution, clustering, and analytics systems.
Open each case study for architecture, challenge, delivery approach, and impact
Mortar AI PVT LTD•2024 – Present
Focus
Agentic AI Platform
Enterprise AI co-pilot backend unifying retrieval, reasoning, SQL access, forecasts, and live web context.
Scope
Built the backend for an AI co-pilot that unified reasoning across enterprise documents, SQL data, ML forecasts, and live web context through a single endpoint
Architecture
Orchestrated multi-tool planning and execution with LangGraph — combining document retrieval, SQL, web search, visualisation, and synthesis agents
Outcome
Production-grade agentic platform for enterprise knowledge and analysis workflows.
Detailed view covers role, challenge, architecture, and measurable outcomes.
Supporting Delivery Work
Firehouse Technology
End-to-end churn prediction pipeline combining batch modelling, streaming data, and intervention signals.
Reached 92% accuracy and helped reduce churn by 28% with earlier intervention.
Firehouse Technology
Hybrid ML entity resolution engine designed for large, noisy client datasets and cost-sensitive workloads.
Cut processing time by 67% and scaled resolution to 17 million records.
Personal InitiativeFirehouse Technology
NLP-driven duplicate detection and clustering workflow for fragmented product catalogs across data sources.
Improved product matching quality with an interactive review flow for recommendation decisions.
Firehouse Technology
AI assistant for workflow guidance, context-aware responses, and operational decision support.
Improved business workflow efficiency by 35% across integrated operational processes.
OctopusBI
Predictive analytics application for surfacing academic risk patterns from sequential student data.
Delivered actionable educator insights for intervention planning in Australian public schools.
Academic Background
University of Sri Jayewardenepura
University of Jayewardenepura & Erasmus DS and AI Consortium
University of Colombo — Faculty of Science
GPA: 3.2 / 4.0
University of Colombo
Director
Rotaract Club of Faculty of Science (2018/19)
Team Leader
AIESEC in Colombo Central (2018/19)
Department Head — Videography & Photography
FOS Media (2018/19)
University Colors — Rugby, Weightlifting (Vice Captain), Rowing
University of Colombo (2017–2019)