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Dayani Hewawasam

@dayanihewawasam

Data Science and Machine Learning professional with HNB Finance internship experience who developed an intrusion detection system achieving MCC up to 0.98.

Sri Lanka

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What I'm looking for

I'm eager to contribute innovative solutions in data science, artificial intelligence, and machine learning, collaborate with multidisciplinary teams, and grow as a data-driven technology professional.

At HNB Finance, I supported data analysis, business intelligence, automation, and information security initiatives. I used SQL, Power BI, Excel Power Query, Microsoft Purview, and Power Automate to validate data, develop dashboards, automate workflows, and support data protection and compliance activities.

For TETA-Guard, I designed three temporal-echo topology poisoning attacks and built a dual-mode intrusion detection system for Software-Defined Vehicular Networks, achieving MCC up to 0.98 in simulations. I also implemented post-quantum cryptographic mitigation and a Hyperledger Fabric smart contract for automated attack mitigation.

My projects also include a banking customer-support chatbot combining BERT intent classification with a FAISS-based RAG pipeline, and a real-time traffic light detection system using YOLOv8s. I completed the BSc Engineering (Hons) in Computer Engineering programme at the University of Ruhuna, with convocation pending, and am interested in data science, artificial intelligence, and machine learning.

Experience

Work history, roles, and key accomplishments

Data Science & Machine Learning Intern

HNB Finance

Apr 2025 - Nov 2025 (7 months)

Supported data analysis, business intelligence, automation, and information security initiatives using SQL, Power BI, Excel Power Query, Microsoft Purview, and Power Automate. Performed SQL-based data analysis and validation, including identifying and checking sensitive data across organizational datasets, while developing dashboards, automating workflows, and supporting data protection and compli