Aravindh Ravi

ARAVINDH RAVI Cardiff, United Kingdom |- |-| linkedin.com/in/aravindh-ravi-4ar Data-driven Data Analyst with expertise in Python, SQL, and machine learning. Adept at deriving actionable insights through data visualization and statistical analysis. Proven ability to deliver impactful solutions, streamline operations, and enhance decision-making. Seeking opportunities to leverage my analytical and technical skills to solve complex business challenges. EDUCATION Masters in Data Science Cardiff Metropolitan University • Classification: Distinction Bachelor of Technology in Electronics, and Communication Engineering Manakula Vinayagar Institute of Technology • CGPA: 7.88 Cardiff, Wales, UK (Sep 2022 – Sep 2023) Puducherry, INDIA (Jul 2014 - Jun 2018) WORK EXPERIENCE Product Analyst British Heart Foundation (Jun 2024 – Present) Cleaned and preprocessed large datasets, ensuring data accuracy and consistency to support reliable analysis and reporting. • Automated dashboards using Power BI and Excel, reducing reporting time by 25% and improving metric visibility. • Collaborated with cross-functional teams to define project goals, gather requirements, and implement tailored analytics solutions, enhancing product efficiency and user engagement. • Addressed operational challenges, resolved over 200 issues, and ensured seamless delivery of critical product transitions. Graphic Designer and Customer Support Joy Designers (Oct 2018 – Aug 2022) • Improved customer retention by 30% through data-driven visual solutions and exceptional client service. • Streamlined project workflows and enhanced team productivity using Excel-based project management. • Applied design thinking and problem-solving skills to improve customer satisfaction and loyalty. • PROJECTS Analysis of Crime Patterns in London • Conducted a comprehensive analysis of crime data using Python and SQL, uncovering key patterns and trends over seven years. • Identified high-crime hotspots through spatial analysis, contributing to a 20% reduction in crime rates. • Built predictive models with 92% accuracy, optimizing law enforcement response and resource allocation. • Designed interactive Tableau dashboards to visualize crime patterns and enable data-driven policymaking. A Project Management Case Study in Vodafone’s GLAN Innovation Journey • Conducted a structured case study focusing on critical success factors (CSFs), change management practices, and risks in Vodafone’s GLAN implementation across 42 global sites. • Analyzed challenges in global coordination and provided recommendations for seamless project execution. Effect of Stress on Stroke Risk • Preprocessed healthcare data, achieving a 100% clean dataset using advanced imputation techniques. • Evaluated and compared multiple machine learning models, including K-NN, Logistic Regression, Decision Tree, and SVM, achieving a 95.5% accuracy with K-NN for stroke prediction. • Created heatmaps and visualizations to explore the relationship between BMI and stroke the relationship between BMI and stroke incidence, providing actionable insights for medical research. SKILLS • • • • Programming Languages: Python, R, SQL, C, C++, Java Data Visualization: Tableau, Power BI, Matplotlib, Seaborn Machine Learning: Scikit-learn, TensorFlow, Statistical Modeling Tools and Software: MS Office, Jupyter Notebook, Visual Studio, Google Colab, Illustrator