Data Analyst with 3+ years in Data Analytics & Visualization
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Assessing your cultural and operational fit
Business Data Analytics undergraduate at IIT( offered by University of Westminster) with strong skills in data analytics, statistical analysis, and machine learning. Proficient in Python and SQL, with the ability to turn complex data into actionable business insights. Passionate about applying data-driven solutions to real-world business challenges.
University of Westminster
BSc (Hons) · Business Data Analytics
August 1, 2025 – Present
Yasodara Devi Balika Maha Vidyalaya,Gampaha
GCE Advanced Level · Physical Science
June 1, 2014 – May 31, 2023
Yasodara Devi Balika Maha Vidyalaya,Gampaha
GCE Ordinary Level
June 1, 2014 – May 31, 2023
Amara Hardware
Inventory & Operations Assistant
January 1, 2023 – Present
Gampaha, Western Province, Sri Lanka
Amara Electricals and Paints
Retail Operations & Sales Associate
January 1, 2023 – Present
Gampaha, Western Province, Sri Lanka
Data Story – Mortality Trends in England and Wales
January 1, 2025 – January 1, 2026
Analyzed 10 years of ONS mortality data across gender, age group and cause of death using Power BI. Designed and interpreted 6 professional visualisations including heat maps, area charts and clustered column charts. Cleaned and prepared raw ONS datasets by removing redundant rows and recalculating percentage columns. Analyzed the dataset with a full report.
Multidimensional Analysis of Sri Lanka's Emissions Data Using Interactive Visualization Techniques
January 1, 2023 – June 1, 2026
Conducted a comprehensive data analysis of Sri Lanka's CO2 emissions dataset, including data cleaning, transformation, and exploratory analysis. Developed an interactive Streamlit dashboard using Python, Pandas, and Plotly with dynamic filtering, KPI metrics, and advanced visualizations (treemaps, trends, sector breakdowns) to support data-driven decision-making. Generated automated analytical insights (dominant sectors, emission hotspots, year-on-year trends) and deployed a responsive dark-themed application with CSV export and Streamlit Cloud integration
Foodz@Yourz
January 1, 2023 – June 1, 2026
I designed a comprehensive Conceptual EERD for a multi-store grocery service, utilizing advanced specialization and generalization to model complex product hierarchies, staff roles, and delivery logistics. The system integrates member management and payment processing, supported by a detailed Data Dictionary and strict EERD constraints to ensure a robust relational database design.
Education Progress Across South Asia – Interactive DashboardData Visualization Module
January 1, 2023 – June 1, 2026
Built an interactive Power BI dashboard tracking education access, completion, and quality across 8 South Asian countries (2010–2024). Visualized completion rates by education level and gender, teacher quality, Gender Parity Index (GPI), and pre-primary participation. Incorporated forecasting trends and country-level comparisons using UNESCO and World Bank datasets.
Hospital Readmission Risk Prediction Mini Group Project R | Logistic Regression
January 1, 2023 – June 1, 2026
Performed data preprocessing, built and compared logistic regression models, and identified key risk factors including prior hospitalizations, diabetes medication use, and patient age, achieving 60.6% model accuracy.
BoilHeaterz
January 1, 2023 – June 1, 2026
Mapped a Conceptual EERD into a fully normalized logical schema for a heating maintenance provider, featuring 13 interrelated tables that manage customers, engineers, and spare parts. Using draw.io, I established strict referential integrity through precise key definitions and cardinality constraints to ensure the design is fully implementable within an Relational Database Management System.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics concepts across diverse datasets (emissions, education, mortality). The focus on interactive dashboards and data storytelling aligns with roles requiring clear communication of insights. The current part-time roles in retail operations suggest a practical, hands-on approach, which could be beneficial in a dynamic work environment. However, the lack of professional data analytics experience means cultural fit in a corporate data team setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic projects, suggesting good organizational skills. The retail experience, though not directly technical, implies customer interaction and operational awareness. However, there is insufficient data to assess specific soft skills like leadership, conflict resolution, or advanced teamwork in a professional data analytics context.