Data Analyst

Bhawanthi Silva

+44-743******* **************@*****.*** Norwich, UK linkedin.com/in/BhawanthiSilva Profile

Data professional with a strong background in statistical analysis, data validation, and reporting. Experienced in Python, SQL, and data visualisation, with the ability to analyse complex datasets and present findings clearly. Proven experience in improving data quality and supporting decision-making in high-volume environments. Currently pursuing an MSc in Data Science, with a focus on time series analysis and real-world data applications. Professional Experience

Data Administrator (Paragon Customer Communications - HSBC Department) Wymondham 10/2023 - Present

• Handle large volumes of financial data, ensuring accuracy across internal systems

• Maintain and update datasets using internal platforms, and manage tasks through JIRA

• Analyse data in Excel to identify inconsistencies and support reporting and decision-making

• Track data issues and contribute to improvements that reduced errors by 70%

• Work to strict deadlines within a high-volume, compliance-driven environment Research Assistant (Ministry of Science and Technology - NASTEC) Colombo, Sri Lanka 01/2023 - 09/2023

• Supported 4 multidisciplinary projects across energy, biomedical, and climate data by analysing and integrating diverse datasets

• Cleaned and processed complex data using advanced Excel and statistical methods, ensuring accuracy and consistency

• Developed reports and dashboard-style outputs to communicate insights to technical and non-technical stakeholders

• Collaborated with cross-functional teams and external stakeholders to deliver data-driven outputs

• Contributed to BICOST IX conference data support, gaining exposure to industry practices. Trainee Data Analyst (Ceylon Petroleum Storage Terminals LTD) Colombo, Sri Lanka 10/2020 - 04/2021

• Analysed real-world engineering and construction data, focusing on bid values and project performance

• Delivered reports and data summaries to support operational and project decision-making

• Developed Power BI dashboards to present insights to engineers and project managers

• Conducted research-based regression analysis using R and Python for bid value estimation, identifying 3 key factors (out of 7) significantly impacting results

• Performed data cleaning, EDA, and statistical modelling to ensure accurate analysis Education

MSc Data Science (Part time) University of East Anglia, UK 09/2024 - Present Dissertation: Change point analysis on climate data (time series) BSc (Hons) in Applied Sciences University of Sri Jayewardenepura, Sri Lanka 12/2017-10/2022 Specialised in Statistics

Projects

Statistical Change Point Analysis (MSc Dissertation)

• Analysing long-term climate datasets from the Wood for Trees database to identify structural changes in temperature trends

• Applying time series analysis and change point detection methods using R and Python

• Performing data cleaning, validation, and exploratory data analysis on multi-year climate data

• Investigating periods of significant change in temperature trends to support interpretation of climate patterns

• Developing reproducible analysis workflows to ensure consistency and accuracy Sales Performance Dashboard & Analysis

• Analysed a large real-world retail sales dataset, covering transactions across products, regions, suppliers, and time periods

• Cleaned and prepared data using SQL and Python, handling missing values and inconsistencies

• Identified top-performing products contributing to over 35% of total revenue, and highlighted underperforming regions

• Built an interactive Power BI dashboard to track key metrics including revenue, monthly sales trends, and product performance

Skills

• Programming & Data Tools: Python, SQL, PostgreSQL, R

• Data Visualisation: Power BI, Tableau, Plotly, Matplotlib

• Data Analysis: Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Regression, Time Series Analysis, Survival Analysis

• Tools & Platforms: Advanced Excel (Pivot Tables, XLOOKUP), JIRA, Jupyter Notebook

• Core Skills: Dashboard Development, Reporting, Data Validation, Insight Generation, Stakeholder Communication, Time Management

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