10+ years turning raw data into business decisions — BI development, data storytelling and process improvement
Embedded Files
About
Data analyst with 10+ years combining business intelligence, data analysis and process improvement. Previously based in Sydney, Australia for nearly a decade, building 250+ dashboards at a global tech company.
Master of Business Analytics · Computer Science background · Lean/Six Sigma & ISO 9001.
Dashboards
Power BI Dashboards
PwC Power BI Dashboards — Virtual Experience Program
Three end-to-end Power BI dashboards built for the PwC virtual experience program, covering call centre performance, HR diversity & inclusion, and customer retention.
Each dashboard follows a complete analytics workflow:
-data preparation, KPI definition, interactive filtering, and insight-driven storytelling.
Built with Power BI, Power Query and DAX
Call Centre Performance
Call Centre Performance
Business problem: monitor call volume, resolution, speed of answer and customer satisfaction to improve service quality.
Business problem: monitor call volume, resolution, speed of answer and customer satisfaction to improve service quality.
Insight: resolution rate of 72.9% with an average satisfaction of 3.40 — the highest-volume topics (Streaming, Technical Support) show the lowest resolution, pointing to a training priority.
Insight: resolution rate of 72.9% with an average satisfaction of 3.40 — the highest-volume topics (Streaming, Technical Support) show the lowest resolution, pointing to a training priority.
HR Diversity & Inclusion
HR Diversity & Inclusion
Business problem: assess gender diversity across hiring, promotion and turnover to support a more inclusive workforce.
Business problem: assess gender diversity across hiring, promotion and turnover to support a more inclusive workforce.
Insight: since 2018 the company has become more active on diversity, but hiring and promotion by gender remain uneven — increasing women hiring is needed to equalize the proportions.
Insight: since 2018 the company has become more active on diversity, but hiring and promotion by gender remain uneven — increasing women hiring is needed to equalize the proportions.
Customer Retention & Churn
Customer Retention & Churn
Business problem: identify why customers cancel and which segments carry the highest churn risk.
Business problem: identify why customers cancel and which segments carry the highest churn risk.
Insight: 26.5% of customers churned last month — month-to-month contracts and low adoption of online security and tech support are the strongest churn signals.
Insight: 26.5% of customers churned last month — month-to-month contracts and low adoption of online security and tech support are the strongest churn signals.
Sales Analysis Project
Sales Performance Dashboard
Sales Performance Dashboard
Business problem: track total revenue, product and brand performance, and geographic distribution to support commercial and inventory decisions.
Business problem: track total revenue, product and brand performance, and geographic distribution to support commercial and inventory decisions.
Insight: total revenue of $64.17M, led by the DVD M360 Preto — with brand performance and regional concentration revealing where commercial effort
Insight: total revenue of $64.17M, led by the DVD M360 Preto — with brand performance and regional concentration revealing where commercial effort
pays off.
pays off.
Power BI Sales Dashboard
Power BI Sales Dashboard
An end-to-end sales analytics dashboard built in Power BI, following the structured workflow from the Power BI Intensive course. It tracks total revenue, top-performing products, sales trends over time, brand performance, and geographic distribution of sales.
An end-to-end sales analytics dashboard built in Power BI, following the structured workflow from the Power BI Intensive course. It tracks total revenue, top-performing products, sales trends over time, brand performance, and geographic distribution of sales.
Key highlights:
Key highlights:
-KPI cards with clear hierarchy (label + value) for total revenue and top product
-KPI cards with clear hierarchy (label + value) for total revenue and top product
-Monthly sales trend combining bar and line visuals to show volume and performance
-Monthly sales trend combining bar and line visuals to show volume and performance
-Brand performance ranked in descending order for at-a-glance comparison
-Brand performance ranked in descending order for at-a-glance comparison
-Geographic map showing sales distribution by region
-Geographic map showing sales distribution by region
-Interactive slicers for dynamic filtering
-Interactive slicers for dynamic filtering
-Clean corporate palette (navy + teal), soft card layout, and an executive insight box that summarizes the story behind the data
-Clean corporate palette (navy + teal), soft card layout, and an executive insight box that summarizes the story behind the data
Tools: Power BI · DAX · Data Modeling
Tools: Power BI · DAX · Data Modeling
What it demonstrates: translating raw transactional data into a decision-ready executive view — the same discipline I apply to every analytics project, from requirement gathering to stakeholder-ready reporting
What it demonstrates: translating raw transactional data into a decision-ready executive view — the same discipline I apply to every analytics project, from requirement gathering to stakeholder-ready reporting
Tableau Dashboards
Two end-to-end Tableau dashboards built for the KPMG and Accenture virtual experience programs, covering customer segmentation for marketing strategy and operational performance for a government service.
Each dashboard follows a complete analytics workflow:
-data preparation, KPI definition, interactive filtering, and insight-driven storytelling.
Built with Tableau Desktop.
Customer Segmentation & Marketing Strategy — KPMG
Customer Segmentation & Marketing Strategy — KPMG
Business problem: identify high-value customer segments for Sprocket Central Pty Ltd, a bikes and cycling accessories company, to optimise its marketing strategy.
Business problem: identify high-value customer segments for Sprocket Central Pty Ltd, a bikes and cycling accessories company, to optimise its marketing strategy.
Insight: the largest customer concentration is in the 40–49 age bracket, led by New South Wales — the basis for targeting the highest-value segments from the new customer list.
Insight: the largest customer concentration is in the 40–49 age bracket, led by New South Wales — the basis for targeting the highest-value segments from the new customer list.
Service Operations Performance — Accenture
Service Operations Performance — Accenture
Business problem: assess the performance of the student refund claiming system for a national government department (DSS), covering payment accuracy, NPS, processing time and fraud.
Business problem: assess the performance of the student refund claiming system for a national government department (DSS), covering payment accuracy, NPS, processing time and fraud.
Insight: NPS and processing time improved while employee satisfaction stayed stable — the operation is scaling efficiently.
Insight: NPS and processing time improved while employee satisfaction stayed stable — the operation is scaling efficiently.
Capstone Project — Master of Business Analytics
EnergyAustralia_Churn_Analysis_Case_Study.pdfCustomer Churn Analysis — EnergyAustralia
Business problem: reduce customer churn at Australia's third-largest energy company, whose active customer base was declining.
Approach: customer segmentation (K-means) and predictive modelling (Random Forest, XGBoost, Decision Tree) on 14,606 client records and 193,000+ price records, with data validation in Excel and visualisation in Tableau.
Insight: two customer segments (C4 and C1) drive over 85% of profitability — a tuned Random Forest model (86% accuracy, AUC 0.888) enabled a targeted 15% discount strategy for high-value customers and gas cross-selling.
Tools: Excel · Tableau · Orange · Exploratory
Data Projects
Airbnb_Boston_Case_Study.pdfReal Estate Investment Analysis — Boston Airbnb
Business problem: recommend which neighbourhood and property type is most profitable to invest in, based on 6,247 Boston Airbnb listings (Jan 2019–Jan 2020).
Approach: data cleaning in Excel, exploratory analysis in Tableau, and a final investment recommendation.
Insight: Back Bay, West End and Kenmore are the most profitable neighbourhoods — with peak occupancy of 76.4% in December and 1–2 bedroom properties within 5.5 km of downtown delivering the strongest returns.
Tools: Excel · Tableau
Contact
Based in Brazil · Available for remote work
Google Sites
Report abuse