Stanley Ewenike

───────────────────────────── STANLEY FRANCIS EWENIKE Preston, Lancashire, United Kingdom | Mobile:- | Email:-LinkedIn: linkedin.com/in/stanley-e-a0542b40 | Certifications: credly.com/users/stanley-ewenike ───────────────────────────── PROFESSIONAL SUMMARY Analytical and results-driven Data Analytics professional with extensive experience transforming raw data into strategic insights. Skilled in developing advanced analytics models, building ETL pipelines, and creating impactful dashboards. Proven expertise in SQL, Python, Tableau, Power BI, and cloud platforms (Azure, AWS) to drive data integrity, process automation, and business performance improvements. Adept at cross-functional collaboration and stakeholder engagement, with a strong record of optimizing operations through data-driven decision-making. CORE COMPETENCIES & TECHNICAL SKILLS • Data Analytics & Modelling: Advanced statistics, machine learning (decision trees, random forest, gradient boost, time series analysis), predictive modelling, clustering, regression analysis • Programming & Tools: Python, SQL, R, C#, VBA; Jupyter Notebook, VS Code, Git, Docker • Data Visualization & BI: Tableau, Power BI, AWS QuickSight, Matplotlib, Seaborn, Pandas • Data Management & ETL: Azure Data Factory, Databricks, SSIS, Power Query, ETL pipelines, data warehousing • Cloud & Database Platforms: Azure, AWS, SQL Server, MongoDB, MySQL, Azure Data Lake, AWS S3, AWS Athena • Process Automation & Collaboration: Power Automate, SharePoint, Azure DevOps, Agile (Scrum, Kanban) • Additional Skills: Data storytelling, stakeholder engagement, project leadership, research & development, continuous improvement PROFESSIONAL EXPERIENCE Evaluation Senior Manager – Data Ops & Analytics | NHS England | Apr 2024 – Present • Directed comprehensive user research to capture business requirements and convert them into technical data specifications. • Developed and optimized ETL pipelines using Azure Data Factory and Databricks, reducing data processing times by over 20%. • Engineered advanced analytics models (decision trees, time series, random forest, gradient boost) to uncover key trends, enabling enhanced operational decision-making. • Designed and deployed interactive dashboards in Tableau and Power BI that provided real-time analytics and performance metrics. • Implemented automated data validation & reporting processes, improving data accuracy & stakeholder confidence. • Leveraged Generative AI to reimagine analytics processes and drive operational efficiency. Data Analyst | NHS England | Nov 2022 – Mar 2024 • Translated complex business needs into actionable insights by analysing large datasets using SQL and Python. • Built dynamic dashboards and reports in Tableau, AWS QuickSight, and Power BI, facilitating data-driven strategic decisions. • Developed clustering and decision-tree models to analyse stakeholder engagement and sentiment, improving customer insights. • Automated extraction, transformation, and loading (ETL) processes from diverse data sources to ensure data integrity and efficiency. • Collaborated with cross-functional teams in agile environments to streamline analytics workflows and prioritize data initiatives. Principal Information Analyst | Warrington and Halton Hospitals NHS Trust | Aug 2021 – Oct 2022 • Designed and implemented segmentation strategies and data pipelines to optimize patient management and enhance reporting accuracy. • Executed advanced data extraction, transformation, and modelling from hospital systems to support timely decision-making. • Developed classification models to identify critical operational trends and potential risks, supporting proactive management. • Mentored junior analysts and contributed to the development of a robust data analytics strategy. Data Quality Analyst | Southport and Ormskirk Hospitals NHS Trust | Dec 2020 – Aug 2021 • Established and enforced data quality framework with defined benchmarks, significantly reducing discrepancies. • Built robust ETL pipelines & interactive dashboards using SSRS & Power BI to monitor and report on data quality. • Conducted in-depth data mining and predictive analysis to identify trends and opportunities for process improvement. Senior Information Analyst | Manchester University NHS Foundation Trust | Aug 2020 – Dec 2020 • Designed and implemented robust ETL pipelines that integrated data from the Trust’s central data warehouse and maternity systems, enabling comprehensive, cross-departmental analyses. • Developed and refined regression models to forecast birth trends over multiple periods, directly influencing resource planning and service delivery. • Created detailed reports and interactive dashboards, using tools such as Tableau and Power BI, to communicate key performance indicators and data-driven insights to clinical and administrative stakeholders. • Collaborated closely with end users and IT teams to identify and address data quality issues, ensuring data accuracy and timeliness. • Developed automated data flows for statutory collections and audit processes, reducing manual intervention and streamlining reporting workflows. Data Analyst | Lancashire Teaching Hospitals NHS Foundation Trust | Aug 2019 – Aug 2020 • Worked directly with clinical managers and maternity teams to understand operational needs, ensuring data collection strategies aligned with service delivery objectives. • Developed and implemented strategies to improve data capture across various systems (e.g., data warehouses, K2MS, BadgerNet), significantly enhancing data completeness and reliability. • Produced Statistical Process Control (SPC) charts and dashboards that monitored key metrics over time, facilitating continuous improvement in service delivery. • Extracted and analysed data to generate actionable insights, employing storytelling techniques and data visualization best practices to translate complex data into clear, impactful narratives. • Conducted detailed analyses on data outliers to support hypothesis testing and uncover hidden trends, contributing to more informed strategic decisions. • Co-developed automated data flows and streamlined datasets for statutory data collection and audit (MSDS), reducing reporting time and increasing data accuracy. Research Developer / Lecturer | Staffordshire University | Aug 2014 – Aug 2019 • Conducted systematic literature reviews and feasibility studies on HEIF projects and various academia-industry collaborations, informing innovative research directions. • Led requirements gathering sessions and performed detailed analysis to define technical specifications for application development projects. • Designed, developed, and rigorously tested application database objects and models to support non-functional testing and cloud-based development initiatives. • Created and delivered engaging curricula, including the design of course content, learning outcomes, assessments, and reading materials for modules such as Software Development (Python/C/C++), Computer Systems Security, and Web Development. • Facilitated both undergraduate and postgraduate teaching sessions, ensuring that complex technical concepts were accessible to a diverse student body. • Mentored students and coordinated research projects, fostering a collaborative learning environment and bridging the gap between theoretical knowledge and practical application. SharePoint Developer / Reporting Analyst | Hewlett-Packard, Bracknell | Feb 2011 – Mar 2012 • Investigated, analysed, and documented business requirements, providing the foundational analysis for SharePoint-based project solutions. • Developed and maintained a Milestone Tracking & Management (MTM) SharePoint application for the EMEA SPDS, streamlining project monitoring and reporting processes. • Utilized .NET-based development practices to support, test, and maintain multiple SharePoint sites and applications, ensuring reliable performance and user satisfaction. • Designed, created, tested, and maintained database objects that supported robust data storage and retrieval for critical business processes. • Automated routine tasks, ETL operations, and reporting through the implementation of SharePoint workflows, SSIS, and SQL Server Agent, significantly enhancing operational efficiency and reducing manual intervention. Web Developer | SES Building Repairs, Stafford | Dec 2010 – Feb 2011 • Designed, coded, and modified websites according to detailed specifications, ensuring responsive and userfriendly interfaces. • Conducted extensive cross-browser testing to ensure consistent performance and optimal display across platforms. • Played a key role in planning and prototyping new website designs, layouts, and user interfaces, contributing to the evolution of the company’s online presence. • Integrated data from multiple back-end sources to create cohesive, dynamic web experiences that met both business and technical requirements. EDUCATION & CERTIFICATIONS • PhD in Computer Science – Staffordshire University, UK | 2023 • MSc Computing Solutions for Business – Staffordshire University, UK | 2012 • Post-Graduate Certificate in Research Methods (PgCRM) – Staffordshire University, UK | 2017 • B. Tech Computer Science – Abubakar Tafawa Balewa University, Nigeria | 2008 Relevant Certifications: • AWS Certified Cloud Practitioner Fundamentals | Dec 2023 • Microsoft Certified: Power Platform Fundamentals | Mar 2023 • Microsoft 365 Certified: Fundamentals | Feb 2023 • Microsoft Certified: Azure AI Fundamentals | Nov 2022 • Alteryx Foundational Micro-Credential | Jul 2022 • Microsoft Certified: Azure Data Fundamentals | Mar 2022 • Microsoft Certified: Azure Fundamentals | Feb 2022 • MTA: Database Fundamentals | Nov 2020