VIDYA V.G.
Linlithgow,UK
Summary
Data Analyst with expertise in Python, SQL, and Excel, specialising in data cleaning, structuring, and modelling. Proficient in creating insightful visualisations using Power BI and advanced data analysis techniques such as machine learning regression and feature engineering. Adept at generating actionable insights through data visualisation and analysis to drive business decisions.
Driven professional with keen analytical mindset, well-suited for QA Analyst role. Possesses solid problem-solving abilities and strong communication skills, essential for identifying and resolving issues. Prepared to enhance software quality and contribute to seamless project execution.
Overview
17
17
years of professional experience
1
1
Certification
Work history
Volunteer QA Analyst
Scottish Tech Army
01.2023 - 08.2025
- - Tested web applications, identifying functional and UI issues.
- - Documented bugs and collaborated with developers for resolution.
- - Contributed to technology projects for non-profit organisations in Scotland.
- Led project completion, consistently met strict deadlines whilst maintaining high standards of work.
- Coordinated with cross-functional teams to ensure product consistency across platforms.
IT Assistant (MGNREGA) – Data Analysis
Govt of Kerala
01.2014 - 01.2023
- - Managed and analysed rural employment data under MGNREGA at Block Panchayat level.
- - Created Excel-based reports and charts for authorities.
- - Monitored trends in work demand, fund allocation, and project completion.
- - Ensured accuracy and compliance with reporting standards.
Project Assistant
Cyber Prism
Eranakulam, Kerala, India
03.2008 - 05.2009
- Coordinated team meetings to enhance project communication.
- Developed comprehensive project plans, ensuring efficient deadline adherence.
- Resolved project issues promptly, minimising disruptions to timelines.
- Organised training sessions for students to facilitate swift team integration.
Education
SQA Level 7 PDA - Data Science
Scotland
FIFE 08/2025 -
Bachelor of Library and Information Science - Library and Information Science
Mahatma Gandhi University
Kottayam 03/2014 - 10/2015
Post Graduate Diploma - Computer Application
Govt Polytechnic Cherthala
Cherthala 03/2007 - 09/2008
Bachelor of Science - Zoology
Kerala University
Thiruvanathapuram 03/2003 - 03/2006
Skills
- Python (pandas, NumPy, seaborn, matplotlib, scikit-learn)
- SQL (queries, joins, aggregations)
- Excel (pivot tables, advanced formulas)
- Data cleaning and structuring
- Machine learning (regression, feature engineering)
- Data visualisation and insights
- Machine learning algorithms
- Data Modelling
- Data cleaning
Certification
IBM Data Analyst Professional Certificate – Coursera
Languages
English (B2)
Hindi (A2)
Malayalam (Native)
Additional information
- - Eligible to work in the UK and EU
- - Committed to continuous professional development in data analytics
Personal Information
Languages
6,2,6
Projects
House Sales Price Analysis – King County (USA)
Built predictive models to analyse how property attributes (e.g., size, location, condition) affect house prices in Seattle. Applied EDA, visualisation, feature engineering, and regression modelling using Python.
GitHub: https://github.com/VidyaVGeetha/House-Sales-Price-Analysis-King-County-USA
Health Insurance Cost Analysis
Explored factors influencing medical insurance charges, such as age, BMI, smoking status, and dependents. Conducted EDA, visualisation, encoding, scaling, and regression modelling to derive actionable insights.
GitHub: https://github.com/VidyaVGeetha/Health-Insurance-Cost-Analysis
Tesla & GameStop Stock and Revenue Analysis
Performed time-series analysis of stock prices and revenues using Python, yfinance, BeautifulSoup, and Plotly. Created interactive visualisations to compare financial trends and market performance.
GitHub: https://github.com/VidyaVGeetha/Tesla-GameStop-Stock-Analysis
Used Car Price Prediction (UK)
Developed an end-to-end ML pipeline to predict used car prices from 3,600+ UK listings. Applied feature engineering, model comparison, hyperparameter tuning, and selected HistGradientBoosting for best performance (R² = 0.85).
GitHub: https://github.com/VidyaVGeetha/Car-Cost-Prediction
Timeline
Volunteer QA Analyst
Scottish Tech Army
01.2023 - 08.2025
IT Assistant (MGNREGA) – Data Analysis
Govt of Kerala
01.2014 - 01.2023
Project Assistant
Cyber Prism
03.2008 - 05.2009
SQA Level 7 PDA - Data Science
Scotland
08/2025 -
Bachelor of Library and Information Science - Library and Information Science
Mahatma Gandhi University
03/2014 - 10/2015
Post Graduate Diploma - Computer Application
Govt Polytechnic Cherthala
03/2007 - 09/2008
Bachelor of Science - Zoology
Kerala University
03/2003 - 03/2006
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