Results-driven professional with 3+ years of experience in data-driven process improvement and operational analytics within high-availability telecom environments.
I am adept at translating complex business needs into scalable data solutions. Currently, I am pursuing an MSc in Data Science at Coventry University to deepen my expertise in machine learning and big data analytics.
My background spans across DevOps, ERP analysis, and network operations, giving me a unique perspective on technical infrastructure and business intelligence.
Years Experience
System Reliability
Coventry University, UK
University of Moratuwa, Sri Lanka
BitSlize Concepts (Pvt) Ltd | Jan 2025 - Present
Leads end-to-end process identification and gap analysis, delivering improvement recommendations across business units.
Dialog Axiata PLC | Dec 2023 - Dec 2024
Developed workflow automation improving end-to-end operational visibility by 30%+.
SPIL Labs | Sep 2023 - Nov 2023
Supported ERP operational reporting and resolved issues, reducing average resolution turnaround by 20%.
Dialog Axiata PLC | Nov 2022 - Sep 2023
Supported 24/7 real-time system monitoring and service assurance for a live production environment.
An autonomous cloud ecosystem executing daily market analysis on 11 assets. Orchestrated with four sequential AI agents handling technical analysis, News NLP sentiment, signal generation, and risk governance.
60.75%
Model Accuracy
13
Features
8:00 AM
Daily Trigger
Research on the correlation between social media sentiment and market oscillations. Developed a custom pipeline to analyze Twitter sentiment impact on CSE stock movements.
94.1%
Prediction Accuracy
An end-to-end data mining pipeline deciphering structural patterns across 6,000+ wine chemical profiles. Engineered with unsupervised machine learning in R to evaluate data geometry using K-Means clustering, silhouette width optimization, and cophenetic tree linkage diagnostics.
99.2%
Data Accuracy
An adaptive analytics engine designed to extract structural purchase patterns from massive e-commerce transactional logs. Bypasses textbook guesswork by utilizing distribution percentiles to programmatically determine a 1.71% support floor and executing an empirical confidence sweep to locate the operational "elbow" optimization zone.
167
Rules Discovered
NIBM Sri Lanka
Cisco Networking Academy
Cisco Networking Academy
Cisco Networking Academy
IBM
IBM
IBM
IBM
IBM
IBM
Cisco Networking Academy
Cisco Networking Academy
𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝘼𝙣𝙖𝙡𝙮𝙨𝙩 𝙫𝙨. 𝘿𝙖𝙩𝙖 𝘼𝙣𝙖𝙡𝙮𝙨𝙩
In this article, I discuss the real difference between business analyst and data analyst.
Business Intelligence
A deep dive into World Bank Open Data analyzing the correlation between GDP, public health, and education using DAX and Star Schema modeling
Data Science
From AI that creates insights to tools your grandma can use - here's what's actually happening in the world of data
AI Agent
From a Jupyter Notebook to a live cloud system – this project genuinely changed how I think about data science.
Data Science
A highly talented team spends weeks building a brilliant data model. The code is clean, the pipeline is seamless, and the technical metrics are perfect.
Data Mining
Data science should never exist in a vacuum. The true value of unsupervised learning comes when you translate association rules and set theory into direct, real-world corporate strategy.
Data Mining
6,000 wine profiles into an unsupervised data mining pipeline in R, stripped away all their identifying labels, and let K-Means and Hierarchical clustering algorithms hunt for patterns based purely on 11 lab chemistry attributes.
DevOps VS MLOps VS LLMOps
If you have spent any time in tech over the last decade, you know DevOps. It revolutionized how we build things, turning chaotic code deployments into a smooth, automated assembly line. For a long time, the golden rule was simple: If the code passes the automated tests, it’s ready for the world.
Download my complete resume to read more about my experience in DevOps, Business Analysis, and my academic work in MSc Data Science.
Available for projects involving business intelligence, machine learning, or workflow automation.
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