About 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.
Spanish
Native or bilingual
English
Native or bilingual
Swedish
Basic
Remote only
Primarily works remotely
Experience
- SpotifyData ScientistTELECOMMUNICATIONSAugust 2021 - January 2024 (2 years and 5 months)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 months)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 years)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.
Recommendations
Be the first to recommend Javier
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- MBA - Digital Marketing specializationThePowerMBA2022MBA - Digital Marketing specialization
- MSc. Machine Learning, Medical EngineeringKTH Royal Institute of Technology2018MSc. Machine Learning, Medical Engineering