I spent over a decade using data to run operations across four continents. Now I build the analyses I always wished I had — with SQL, Python, and Tableau.
“I know what decisions look like when the data isn’t good enough — because I’ve had to make them.”
My career started in international tourism and hospitality, where I led multi-market operations for a travel company active across Latin America, Africa, and Europe. I designed KPI frameworks, drove cost reduction, and built processes that scaled across borders.
What I kept running into was a gap: the data existed, but the analyses didn’t. I was the person who needed the insight — who had to decide whether to restructure a supply chain or double down on a route — and I learned exactly what questions data needs to answer to actually be useful.
After nine years based in Berlin, I made a deliberate move into data analytics. I work in SQL (PostgreSQL), Python (pandas, matplotlib, seaborn), and Tableau — and I bring an unusual angle: the perspective of the stakeholder, not just the analyst.
Each project is a full-cycle exploration — from raw data to insight to recommendation.
Instacart needed to move beyond broad promotions and target the right customers at the right time. Segmented customers by behavior, loyalty, demographics, and region to identify peak windows, high-spend patterns, and product preferences. Delivered a targeted campaign strategy by region, time of day, and customer profile.
View on GitHubRockbuster needed to understand where revenue was concentrated before planning expansion. Queried a relational database to uncover rental patterns, top-grossing titles, and high-value customer locations by region. Recommended prioritizing the top 10 markets and targeting specific genres and ratings to drive revenue growth.
A medical staffing agency needed a data-driven framework to deploy temporary staff across all 50 US states during influenza season. Analyzed flu mortality and age-specific vulnerability data to identify peak periods and high-risk regions. Delivered a two-tier staffing model distinguishing high-volume states from year-round critical intervention states.
View on Tableau PublicGameCo needed to predict how upcoming titles would perform globally before launch. Analyzed decades of historical sales data to map genre trends, regional preferences, and competitor positioning across three major markets. Delivered strategic recommendations for marketing budget allocation by region and identified untapped growth opportunities in Europe and Japan.
View on GitHubPig E. Bank needed to identify at-risk customers and understand the profile driving churn. Built a decision tree model on behavioral and demographic data to predict churn risk and surface the key characteristics of customers likely to close accounts.
View on GitHubA decade of operations leadership across travel, tourism, and multi-market environments.
From colleagues and managers who experienced my work first-hand.
I’m actively looking for data analyst, product analyst, and operations analyst roles in Berlin. If you’re working on something interesting — or if you just want to talk about data, operations, or travel — I’d love to hear from you.
Send an EmailGabriela Cascione
Berlin, Deutschland
E-Mail: gabriela.cascione+portfolio (at) gmail.com
Diese Website ist ein privates, nicht-kommerzielles Portfolio ohne Werbung, Affiliate-Links oder kostenpflichtige Dienstleistungen.
Die Inhalte dieser Seite wurden mit größtmöglicher Sorgfalt erstellt. Für die Richtigkeit, Vollständigkeit und Aktualität der Inhalte kann jedoch keine Gewähr übernommen werden.
Die durch den Seitenbetreiber erstellten Inhalte und Werke auf diesen Seiten unterliegen dem deutschen Urheberrecht. Die Vervielfältigung, Bearbeitung, Verbreitung und jede Art der Verwertung außerhalb der Grenzen des Urheberrechtes bedürfen der schriftlichen Zustimmung der Erstellerin.