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Data Analyst with less than a year in machine learning & predictive analytics.
Data Analytics and AI professional with hands-on experience in machine learning, predictive analytics, statistical modeling, dashboard development, and AI-driven business solutions. Skilled in Python, SQL, R, Power BI, and end-to-end analytical workflows, with practical industry experience building scalable data-driven systems for real-world operational environments. Strong academic foundation in Applied Statistics combined with industry exposure to data preprocessing, exploratory analysis, feature engineering, predictive modeling, business intelligence reporting, and deployment-oriented AI systems. Experienced in working with large operational datasets, developing machine learning models, building interactive dashboards, and translating complex analytical insights into actionable business solutions. Passionate about AI-driven transformation, data science, advanced analytics, and solving complex business problems using data, machine learning, and intelligent automation technologies.
University of Colombo
Bachelor of Science (Hons) · Applied Statistics
August 1, 2022 – June 30, 2026
Methodist College, Colombo 03
G.C.E. A/L
June 1, 2007 – May 31, 2020
Methodist College, Colombo 03
G.C.E. O/L
June 1, 2007 – May 31, 2020
Haycarb PLC
Data Analyst Intern
October 1, 2025 – April 1, 2026
India
Iris Flower Classification
January 1, 2022 – June 1, 2026
Built and deployed a containerized machine learning classification model for scalable deployment and reproducible workflows.
Wine Quality Prediction
January 1, 2022 – June 1, 2026
Developed regression and classification models for wine quality prediction using feature engineering and machine learning techniques.
Abalone Age Prediction
January 1, 2022 – June 1, 2026
Developed regression models and optimized predictive performance using feature engineering and model evaluation techniques.
Financial Performance & Failure Analysis
January 1, 2022 – June 1, 2026
Built an interactive analytics dashboard to evaluate company performance trends, financial indicators, and business insights using Power BI and SQL.
AI-Powered Digital Twin for Industrial Process Optimization
January 1, 2022 – June 1, 2026
Developed a predictive analytics system to forecast industrial quality parameters using machine learning and statistical modeling techniques. Built real-time monitoring dashboards and predictive workflows to support operational optimization and early anomaly detection. Implemented advanced feature engineering, cross-validation, and model benchmarking workflows for reliable production-level predictions.
AdventureWorks Sales & Business Intelligence Dashboard
January 1, 2022 – June 1, 2026
Developed a comprehensive Power BI dashboard to analyze sales performance, customer trends, regional insights, and product-level business metrics. Utilized Power Query and DAX to build dynamic KPIs, calculated measures, and interactive reporting visualizations. Designed drill-through and filter-enabled dashboards to support business intelligence and executive-level reporting.
Electronic Sales Dashboard
January 1, 2022 – June 1, 2026
Developed a sales monitoring and reporting system to visualize operational KPIs, sales trends, and forecasting metrics.
Global Terrorism Database App
January 1, 2022 – June 1, 2026
Developed an interactive visualization application for analyzing large-scale terrorism datasets and generating analytical insights.
Python for Data Analysis & Data Science
Udemy
June 1, 2026 – Present
Microsoft Power BI Desktop for Business Intelligence
Udemy
June 1, 2026 – Present
Hands-On Essentials: Data Warehousing Workshop
Snowflake
June 1, 2026 – Present
Snowflake Northstar Data Ingestion, Transformation, and Delivery (ITD) Badge
Snowflake
June 1, 2026 – Present
Financial Engineering & Portfolio Theory
Udemy
June 1, 2026 – Present
Financial Mathematics - Theory of Interest & Cashflow Models
Udemy
June 1, 2026 – Present
Machine Learning Algorithms in Python & R
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Applied Statistics and a range of academic projects demonstrate a strong interest and foundational knowledge in data analysis and machine learning. The internship at Haycarb PLC, where they applied AI-powered solutions to industrial processes, shows a practical, problem-solving mindset. The diversity of projects, from sales dashboards to predictive models, indicates a broad interest in applying data analytics across different domains. The volunteer experience also suggests a willingness to contribute beyond academic and professional tasks. The target role of Data Analyst aligns well with their demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills, which are crucial for a Data Analyst role. Their experience in stakeholder collaboration and presentation skills, as highlighted in the internship description, indicates a good operational fit for working within a team and presenting insights to various audiences. The academic projects and internship show adaptability in learning and applying diverse tools and techniques.