Sreya THoMas

Analysed 82 indicators across wellbeing, health, governance, mobility, environment, and economic performance for the Global City Ranking 2026 Performed detailed data quality checks using sources such as government reports, ONS statistics, local authority datasets, and academic research to ensure accuracy and comparability Cleaned, validated, and structured large datasets, resolving inconsistencies and improving overall data reliability. Prepared clear analytical summaries for non-technical audiences to support evidence-based decision-making

Data Analyst & Research Contributor - Happy City Index (UK Government-aligned Wellbeing Project)

(2025-10)

• Analysed 82 indicators across wellbeing, health, governance, mobility, environment, and economic performance for the Global City Ranking 2026
• Performed detailed data quality checks using sources such as government reports, ONS statistics, local authority datasets, and academic research to ensure accuracy and comparability
• Cleaned, validated, and structured large datasets, resolving inconsistencies and improving overall data reliability. Prepared clear analytical summaries for non-technical audiences to support evidence-based decision-making

Front End Developer - Mariapps Marine Solutions Pvt

(2018-04 - 2021-12)

• Led the development and maintenance of data-driven dashboards and interfaces for enterprise applications, converting complex business needs into clear visual insights
• Partnered with cross-functional teams to analyse user data and produce monthly performance reports that informed workflow and design decisions
• Delivered integrated analytics solutions using Angular and .NET, enabling senior management to monitor real-time usage for planning and control. Strengthened front-end data flows through structured testing and optimisation, improving system reliability and usability by 20%
• Designed and tuned SQL queries to enhance data retrieval performance and support real-time processing. Introduced standardised coding and documentation practices to improve maintainability and ensure consistent data quality standards

Intern – DevOps & Data Analytics - Kvaliteta Systems And Solutions

(2017-10 - 2018-04)

• Developed Python-based data pipelines for a DevOps SaaS platform to automate data collection and transformation across multiple systems
• Monitored system performance using dashboards and regular reports to support proactive issue resolution and operational improvements
• Contributed to technical documentation and team knowledge resources, supporting smoother onboarding and consistent data practices
• Automated routine reports and system health summaries using scripting and visualisation tools, reducing manual reporting effort
• Supported CI/CD workflows for data applications to ensure reliable releases and alignment with project standards

MASTERS - DATA SCIENCE AND ANALYTICS - UNIVERSITY OF HERTFORDSHIRE (2024)

B.TECH - COMPUTER SCIENCE - MAR BASILEOS COLLEGE OF ENGINEERING AND TECHNOLOGY (2017)