Project 12: AI-Powered Financial Management App for Retailers
This project demonstrates my ability to identify market opportunities, design inclusive user experiences, leverage AI-powered development tools, and bridge complex financial concepts with simple interfaces—creating fintech solutions that democratize financial management for underserved businesses. .
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Project 11: AI-Driven Social Media Automation Pipeline
This project highlights my strength in AI-driven workflow design, technical problem solving, and cross-platform automation — skills directly applicable to roles in AI Automation Engineering and Technical Project Management. .
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Project 10: AI-Powered Financial & Web Intelligence Agents
This project introduces a suite of AI agents designed to automate information retrieval, financial analysis, and content generation using advanced language models and external data sources. The agents leverage Groq’s Llama-3.3-70B Versatile and OpenAI's GPT-4o models to process user queries efficiently.
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Project 9: Automated UFC Fight Analysis Video Using AI & Web Scraping
This professional fight breakdown was generated entirely through automation—no human scriptwriter or video editor involved. This showcases how AI automation can transform content creation workflows—perfect for sports media companies, content creators, or anyone dealing with data-heavy analysis. This projects involves Web scrapping from live UFC stats from Sherdog & UFCStats, AI (GPT-4) analyzed data & generated fight commentary, HeyGen AI avatar delivered the breakdown and Entire workflow automated in Make.com
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Project 8: Smart Routing for Dispute Resolution in ShopeePay
This project involved designing a machine learning-powered solution to automate and optimize customer dispute handling for ShopeePay, a leading digital wallet platform in Southeast Asia. The system uses NLP models to classify support tickets and predict dispute complexity, prioritizing high-impact cases for faster handling. Integrating Google NLP and custom-trained models with internal dashboards, this solution improved service quality while reducing operational costs.
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Project 7: Implementing IVR along with payment gateway for leading airlines
Led the end-to-end implementation of an IVR system with secure payment integration for Malaysia Airlines (MAB). Managed frontend, backend, and stakeholder coordination, enhancing customer experience, automation, and security. Streamlined call routing, self-service transactions, and PCI-compliant payments, reducing call handling time and improving operational efficiency and service quality.
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Project 6: Transition Plan for LB Havering Out-of-Hours Service Provision
Successfully transitioned LB Havering’s out-of-hours service through a structured, multi-phase approach. The project deployed a dedicated contact center, robust training, and comprehensive change management, ensuring 24/7, multilingual support. This seamless transition enhanced operational efficiency and customer satisfaction while establishing a scalable framework for future service delivery. .
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Project 5: AI-Powered Cricket Analytics & Prediction Agent
Criclytics is an AI-driven cricket analytics agent built using FlowiseAI, designed to provide real-time insights, historical statistics, and predictive analytics for cricket matches. By leveraging data from reputable sources such as ESPN Cricinfo, Cricbuzz, and the ICC Official Website, Criclytics delivers comprehensive team and player performance analysis, match predictions, and data-driven insights for cricket enthusiasts, analysts, and bettors.
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Project 4: Hotel Management Dashboard (Power BI)
The Hotel Management Dashboard is a data-driven analytics tool designed to provide comprehensive insights into key hotel performance metrics. Built using Power BI, this dashboard enables hotel managers to track revenue, occupancy, and operational efficiency in real time. By leveraging interactive visualizations and data storytelling, the dashboard empowers decision-makers to optimize revenue strategies, enhance guest experiences, and improve overall business performance.
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This project leveraged unsupervised machine learning to segment customers dynamically based on purchase behavior, engagement metrics, and wallet usage patterns. Implemented on Shopee’s big data infrastructure, the solution created actionable buyer personas, directly feeding personalized marketing campaigns via CRM integrations. This enabled the marketing team to pivot from one-size-fits-all campaigns to targeted, revenue-optimized messaging.
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Project 2: Data-Driven Insights: Optimizing Customer Engagement and Operational Efficiency
This project demonstrates the integration of SQL, Google Cloud, and Google Data Suite to automate and analyze customer interaction KPIs for an e-commerce platform, providing actionable insights to optimize operational efficiency and customer engagement.
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Project 1: Finding Suitable Condominium with Data Science Techniques.
A Data Science project uses Data Scraping techniques, Machine learning algorithms and statistical analyses with Python libraries and geocoding.
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Project: Customer Support AI Agent for Nipun
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