Über Javier
I am a passionate and results-driven Data Scientist with 5+ years of experience turning data into actionable insights. My expertise in product analytics, machine learning, and automation helps businesses optimize operations, cut costs, and improve customer experiences.
✦ Expertise ✦
- Product Analytics: I analyze user behavior and product performance to drive decisions that enhance engagement. At Spotify, I worked on machine learning recommendation systems and content value estimation for strategic renewals.
- Machine Learning: I’ve implemented ML models that automate tasks, streamline workflows, and boost efficiency, covering all stages of the ML pipeline.
- Automation: I have a proven track record of automating repetitive processes using NLP, computer vision, and predictive algorithms, saving time and resources.
✦ Professional Highlights ✦
- Spotify: I contributed to enhancing recommendation systems, developing metrics, designing A/B tests, and optimizing data pipelines. I collaborated with engineers and product managers to deliver data-driven insights.
- Utopia Music: As a Senior Data Analyst, I led QA of radio datasets, delivered trend analyses, and developed unsupervised ML models for catalog acquisition, providing stakeholders with actionable insights.
✦ Academic & Research ✦
- I hold a Master’s in Machine Learning and Medical Engineering (KTH, Stockholm) and a Bachelor’s in Telecommunications Engineering (URJC, Madrid). I’ve published research on chronic hypertensive patients, presented at an international conference.
✦ Why Hire Me? ✦
- Proven Impact: I consistently deliver measurable results, from boosting engagement to reducing costs.
- End-to-End Solutions: I provide full-spectrum data science solutions tailored to your needs.
- Collaborative Approach: I work closely with cross-functional teams to align data-driven strategies with business goals.
Let’s explore how I can help unlock your data’s potential for growth and success.
Spanisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig
Schwedisch
Grundkenntnisse
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- SpotifyData ScientistTELEKOMMUNIKATIONAugust 2021 - Januar 2024 (2 Jahre und 5 Monate)Stockholm, SwedenAs a Data Scientist at Spotify, I focused on product analytics, developing engineering infrastructure, and machine learning models for recommendation systems. I worked across multiple product areas, including:
- Promotions (Personalisation mission): Enhanced user-targeting systems for content promotion by collaborating with engineers and product managers. I created metrics, designed A/B tests, and applied statistical validation methods.
- Programming Platform (Personalization mission): Supported content value estimation for podcast acquisition, influencing pricing and contracts. I designed A/B tests, defined product metrics, and applied data-driven decision-making.
- SDK Tooling (Experience mission): Optimised data pipelines, migrating backend services from BigQuery to Scio (Apache Beam and Google Cloud Dataflow). I developed and maintained dashboards to monitor backend metrics and user engagement, investigating opportunities for improvements in user journeys.
- Utopia MusicSenior Data AnalystNovember 2020 - August 2021 (9 Monate)Stockholm, SwedenIn this role, I led quality assurance and data validation for radio consumption datasets. I turned complex data into actionable insights for various music industry stakeholders through:
- Data Quality Assurance: Ensured the integrity and reliability of diverse datasets used across the company.
- Actionable Insights: Created detailed trend analysis reports, expected claim analysis, and descriptive insights to inform decision-making.
- Recommendation Systems: Developed unsupervised machine learning-based recommendation systems for optimizing fund catalog acquisitions.
- Digital Workforce ABData Scientist consultantNovember 2018 - November 2020 (2 Jahre)Stockholm, SwedenI worked as a consultant, applying machine learning, deep learning, NLP, and computer vision across various projects, contributing to significant cost and time savings:
- Machine Learning & AI Projects: Applied machine learning and AI solutions to automate business processes and improve operational efficiency.
- Cost and Time Reduction: Reduced operational costs by automating document classification and information extraction tasks and improving the efficiency of workflows in sectors like insurance and healthcare.
- Healthcare AI Solutions: Optimised workflows within Finnish hospitals, reducing personnel time by 29% in administrative tasks, ultimately improving cost efficiency.
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Ausbildung und Abschlüsse
- MBA - Digital Marketing specializationThePowerMBA2022MBA - Digital Marketing specialization
- MSc. Machine Learning, Medical EngineeringKTH Royal Institute of Technology2018MSc. Machine Learning, Medical Engineering