Izuchukwu Egwuagu

Name Izu Egwuagu Data Analyst LinkedIn: Contact No:- Address- Newcastle, UK Email:- Summary Dynamic and results-driven Data Engineer with a proven track record of leveraging cloud technologies and data engineering practices to optimize data processing and financial reporting. Currently working as a Cloud Financial Analyst at DEFRA, achieving significant cost savings and enhancing data accuracy. Skilled in building automated pipelines, cloud resource management, and financial data analysis. Technical Skills • • • • Data Analysis Cloud Computing Statistical Analysis Data Visualization Personal Skills • Machine Learning • Python, SQL • Snowflake,Redshift • ETL • • • • Problem Solving Critical Thinking Management Skills Security and Privacy • Good Team Player • Active Listening Experience • Data Analyst - Outlier, June 2024 – Present - Collaborated with cross-functional product teams to define key performance indicators (KPIs) for products. - Designed and implemented robust metric tracking systems, ensuring accurate and consistent data collection. - Generated actionable product insights from data analyses, influencing product strategies and improvements. - Conducted root cause analyses to understand patterns or anomalies in the data. - Identified key drivers influencing metrics and recommended potential interventions. - Conducted ad-hoc analyses to answer specific business questions and inform product strategy. - Created clear and impactful visualizations conveying complex data insights. • Business Analyst - Opig Energy Service Limited, January 2023 – 2024 - Collaborated with cross-functional product teams to define key performance indicators (KPIs) for products. - Designed and implemented robust metric tracking systems, ensuring accurate and consistent data collection. - Generated actionable product insights from data analyses, influencing product strategies and improvements. - Conducted root cause analyses to understand patterns or anomalies in the data. - Identified key drivers influencing metrics and recommended potential interventions. - Conducted ad-hoc analyses to answer specific business questions and inform product strategy. - Created clear and impactful visualizations conveying complex data insights. - Collaborated with stakeholders to communicate findings, provide recommendations, and influence product direction. • AWS Cloud Practitioner Certification - Primed Talent, United Kingdom – July- December 2022 - Design secure, high-performing, cost-effective, highly available, and scalable systems by using AWS services according to best practices defined in AWS well-architected framework, Cloud Adoption framework - Learnt various AWS services including but not limited to EC2, EBS, EFS, IAM, VPC (Sub netting, Routing table configuration), Route 53, S3, Trusted Advisor, Systems Manager, Lambda, Config, Cloud front, AWS Organizations, Billing, Athena, Elastic load balancing, Auto scaling, SNS - Gained knowledge on different areas like deployment automation using Cloud formation, Monitoring & logging using cloudwatch, cloud trail, DevOps process like CI/CD, Configuration Management tools like GIT - Gained exposure to data mining and explored different AWS database services like RDS, Dynamo DB. Enhanced python Skills and applied it with server less services like lambda - Explored different ways to interact with AWS services like AWS CLI, Management console Certificates - Microsoft Power BI Data Analyst PL – 300 AWS Certified Cloud Practitioner CLE- C02 Education - Data Science, MSc – Teesside University, January 2022 – May 2023