About

Hi, I’m Inês Garcia

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Senior Product & Decision Data Scientist with 7+ years of experience working with large-scale behavioral and traffic data — TB-scale, millions of users. I work at the intersection of statistical modeling, machine learning, and product strategy, mostly in high-growth technology environments.

I built this blog to write about things I’m learning, building, and thinking about. Expect data science, engineering, the occasional opinion, and a few rabbit holes.

Based in Lisbon, Portugal.

What I’m working on

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I’m currently deep into open-source analytics agents — autonomous, LLM-powered systems that can query, analyze, and reason over data without step-by-step human intervention. The research question I’m exploring: can a Senior Data Analyst at a company like Cloudflare build a production-grade analytics agent that runs entirely on Cloudflare’s own infrastructure (Workers AI, Durable Objects, Vectorize), with no data leaving the network?

The agent accepts natural language questions, decides which tools to call (GraphQL API, SQL, internal metric definitions), executes them, reflects on its own output, and returns a grounded, auditable answer — with the exact query it ran attached to every number it cites.

I’m mapping this against real production systems (Meta’s multi-agent data warehouse, Cloudflare’s Security Analytics AI Assistant) and open-source patterns (LangGraph, smolagents, DSPy) to figure out where the state of the art actually is, and where the gaps are.

Experience

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1. Cloudflare

   Nov 2021 – Present

   Senior Data Analyst, Data Intelligence & Analytics · Lisbon

   Working with TB-scale traffic and product usage datasets to identify behavioral patterns, adoption drivers, and revenue opportunities. Built a near-real-time anomaly detection system using statistical baselines (median modeling with dynamic standard deviation thresholds). Developed survival analysis models on subscription datasets. Built statistical attribution models integrating product usage, CRM, and billing data. Led NLP analysis of internal JIRA ticket data to surface operational bottlenecks.
2. aicep — Portuguese Agency for Trade & Investment

   Jul 2020 – Nov 2021

   Data Scientist, Product Department · Lisbon

   Led data science initiatives for trade and investment analysis. Designed econometric prediction models and built automated Python pipelines that reduced manual data processing by 95%.
3. GroupM — Marketing and Advertising

   Jan 2020 – Jul 2020

   Data Scientist, Business & Science Department · Lisbon

   Built automated Python pipelines integrating social media and campaign performance data for large-scale marketing analytics.
4. PwC Portugal

   Jul 2017 – Jun 2019

   Data Analyst, Research and Analysis Department · Lisbon

   Delivered quantitative analysis for executive consulting decisions. Automated data processing workflows (VBA, SQL), reducing manual effort by 80%. Managed and mentored a team of nine analysts.

Education

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1. Data Science Post Graduation

   2024

   Instituto Superior Técnico · Universidade Nova de Lisboa

   Supervised & Unsupervised Learning, Deep Learning, Time Series Forecasting
2. Postgraduate Diploma in Intelligence Management and Security

   2020

   NOVA IMS · Universidade Nova de Lisboa

   Structured Analytical Techniques, Social Network Intelligence, Economic and Competitive Intelligence
3. Strategy Intelligence MA

   2020

   Instituto Superior de Ciências Sociais e Políticas
4. International Relations Bachelor Degree

   2014

   Instituto Superior de Ciências Sociais e Políticas

Skills

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Programming: Python, SQL, PySpark, Scala, JavaScript

Data Science & Statistics: Statistical Modeling, Anomaly Detection, NLP, Econometrics, Time Series Forecasting, Machine Learning, Behavioral Analysis, Cohort Analysis

Data Platforms: BigQuery, Airflow, Distributed Data Processing

Visualization: PowerBI, Tableau, Looker, Plotly

Certifications

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• Natural Language Processing with Classification and Vector Spaces — DeepLearning.ai / Coursera (2021)
• Mathematics for Machine Learning — Imperial College London / Coursera (2020)
• Data Science Bootcamp — Ironhack Portugal (2019, 420h)