I'm a data-driven professional with a strong foundation in financial services, currently transitioning into business intelligence and analytics. With nearly a decade of experience in client-facing roles across financial operations, mortgage consulting, and hospitality, I bring a deep understanding of business processes and stakeholder needs. My background in high-pressure environments has honed my analytical thinking, precision, and ability to transform complex data into clear, actionable insights that support strategic decision-making.
These are projects where I’ve gone beyond technical execution to deliver real business value. They combine data analytics, predictive modeling, and storytelling to solve practical problems. Each one reflects my ability to turn raw data into actionable insights that support smarter decision-making.
Consumer Complaint Intelligence Dashboard - An end-to-end business intelligence solution using Power BI, Python, and SQL. This project engineers a dynamic ETL pipeline to process millions of consumer complaints, analyzes key risk areas across products and geographies, and delivers strategic insights to help financial institutions mitigate regulatory risk. It’s a complete solution from automated data engineering and modeling to interactive dashboard design and actionable intelligence.
Credit Risk And Loss Insights For Young Borrowers ( Under 30 ) - A full-scale business intelligence case study using Power BI and Python. This project identifies high-risk borrower segments, builds a predictive model to classify default risk, and delivers strategic recommendations to reduce potential losses. It’s a complete solution-from data modeling to dashboard design to business impact.
These are projects completed as part of many available challenges.
December 2025 DataDNA – Animal Shelter Operations Challenge - This project identifies high-risk operational segments, isolates key drivers of resource consumption (ALOS), and delivers strategic recommendations for targeted prevention and field service allocation.
FP20 Analytics & ZoomCharts Challenge 33 - This project is an end-to-end performance audit designed to quantify the hidden costs of peak-season logistics by mapping the direct correlation between fulfillment failures and margin erosion. By analyzing campaign efficiency, carrier performance, and return volatility, the study identifies a systemic "Reality Gap" where delivery delays triggered a massive surge in returns
These are projects I’ve completed throughout my learning journey. While they may not be perfect, each one helped me sharpen my skills in data analytics, Power BI, and Python. They reflect experimentation, exploration, and a commitment to improving my workflow, tooling, and analytical thinking
Efficiency & Health: A Nutritional Benchmark Analysis - Tidy Tuesday - Allrecipes - 16.09.2025
Henley Passport Index Data - Tidy Tuesday - 09.09.2025
Australian Frogs - Tidy Tuesday - 02.09.2025
Billboard Hot 100 - Tidy Tuesday - 26.08.2025
Scottish Munros - Tidy Tuesday - 19.08.2025
Credit Card Churn Prediction with Python
Understanding Public Sentiment through Google Search Data
How do changes in average disposable income and BoE base rates impact UK house prices?
Unveiling UFO Sightings: A Data-Driven Analysis of Space Activity Correlations
Multi-Page Dashboard - Group Project
Telecom Churn Rate Analysis
Coffee Vending Machine Sales Analysis
These projects reflect my curiosity and commitment to continuous learning. Each one helped me build the foundation for the business-focused analytics I deliver today.
Power BI – Dashboard Development, DAX, Report Optimization
SQL – Querying, Data Transformation, ETL
Python – Data Manipulation, Pandas, NumPy, Seaborn, Matplotlib, Scipy, Sklearn
Dimensional Modeling – Star Schema, Kimball Method
Data Storytelling – Turning insights into impactful reports
Collaboration & Communication - Stakeholder engagement, translating technical insights into business language
LinkedIn: LinkedIn Profile