Data Analyst

Bhawanthi Silva

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

Over two years of UK experience in the customer communications sector, working with highly confidential data and documentation. Currently completing an MSc in Data Science at the University of East Anglia, with a strong academic background in Computer Science and Applied Statistics. Proficient in Python, SQL, R, and Power BI, with analytical and statistical skills developed through undergraduate and postgraduate studies and applied through professional experience in data analysis, research, and reporting. Seeking opportunities in analytics roles. Professional Experience

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

• Retrieved, validated, and maintained structured customer data across secure systems, ensuring accuracy and compliance.

• Performed regular data quality checks across customer records from multiple secure systems and maintained tracking spreadsheets to monitor recurring data issues.

• Prepared structured datasets and summaries to support internal reporting and process documentation. Research Assistant (Ministry of Science and Technology - NASTEC) Colombo, Sri Lanka 01/2023 - 09/2023

• Conducted structured data collection, validation, and literature analysis for national-level research projects in the renewable energy domain.

• Analysed multiple research datasets and produced analytical summaries and reports for national-level research outputs.

• Developed Power BI dashboards and presented analytical findings at the Biennial Conference on Science and Technology

(BICOST IX).

Trainee Data Analyst (Ceylon Petroleum Storage Terminals LTD) Colombo, Sri Lanka 10/2020 - 04/2021

• Analysed real-world operational and engineering datasets, addressing data variability, data quality issues, and pre-processing challenges.

• Applied statistical analysis using R, including regression analysis, hypothesis testing, and exploratory data analysis, as part of a final-year undergraduate thesis.

• Communicated analytical findings to stakeholders through concise reports, supporting data-driven decision-making and process improvement.

Education

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

Skills

• Data Analysis & Statistics: Exploratory Data Analysis (EDA), data cleaning, hypothesis testing, regression analysis, time-series analysis

• Programming & Databases: Python, SQL, R, Java

• Visualisation & Reporting: Power BI, Tableau, dashboard development, KPI reporting, data storytelling