I possess 6+ years of progressive experience in transforming complex data into actionable insights and impactful visualizations. My academic journey, culminating in an MSc in Data Analytics from the University of Portsmouth and a BA in Economics from Nottingham Trent University, has provided me with a robust toolkit for quantitative analysis and strategic thinking.

My professional roles, notably at NEC Software Solutions (Housing Department) and Metropolitan Thames Valley Housing, have allowed me to apply these skills extensively. I've designed, developed, and maintained comprehensive BI solutions, led the creation of bespoke reports, engineered ETL processes, and built predictive models addressing critical business needs in the housing sector.

I am passionate about the entire data lifecycle – from requirements gathering and data extraction (using SQL and Python) to model building (Scikit-Learn, TensorFlow) and, crucially, communicating findings through clear, interactive dashboards (Power BI, Jaspersoft, Tableau). I thrive on solving complex problems and believe that well-presented data is key to unlocking business value and driving informed decisions.

Technical Expertise

Here's a snapshot of the technologies and methodologies I work with:

• Data Visualization & Reporting:
  • Power BI (Advanced Dashboard Development, DAX, Power Query M)
  • Jaspersoft (Expert - Standard & Bespoke Reports, JasperReports Server)
  • Tableau (Advanced Visualizations, Dashboard Design)
  • Excel (Advanced Charts, PivotTables, Power Query, VBA)
• Database & Data Warehousing:
  • Oracle SQL (PL/SQL - Advanced Querying, Stored Procedures, Performance Tuning)
  • Data Warehousing Concepts (ETL Processes, Kimball/Inmon, Schema Design)
  • WhereScape RED, Business Objects Universe
• Programming & Scripting:
  • Python (Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, Matplotlib, Seaborn, Requests)
  • Shell Scripting (Automation, Job Scheduling)
  • Excel VBA (Macros, Automation)
  • Git/SVN (Version Control)
• Data Analysis & Modeling:
  • Data Mining (Oracle Data Miner, Python libraries)
  • Statistical Analysis, Hypothesis Testing
  • Predictive Modeling (Classification, Regression, Clustering)
  • Machine Learning (CNNs, Supervised/Unsupervised Learning)
  • Data Quality Analysis, Requirements Gathering & Stakeholder Management
• Tools & Project Management:
  • Jira (Agile Project Management)
  • Microsoft Office Suite

My Approach

I believe in a pragmatic and user-centric approach to data projects. Understanding the business problem is paramount. I enjoy collaborating with stakeholders to define clear objectives and then architecting solutions that are not only technically sound but also intuitive and valuable to the end-users.

My economics background often helps me see the bigger picture, connecting data insights to broader organizational goals and market dynamics.

_Interests: Basketball, Music Production, Investment and Trading._