Iñaki Baglivo
@iakibaglivo
I build machine learning systems that improve revenue, targeting, and strategic business decisions.
What I'm looking for
I'm leading agentic workflow initiatives and a film-similarity scoring model at Regal Cinemas, helping stakeholders make strategic decisions and optimize the IMAX film-selection strategy.
At Revance, I built a high-precision lead-generation scraper that prioritized 500+ high-intent aesthetic practices and supported $1M in revenue through accelerated biotech product adoption. I also developed machine-learning client segmentation and a time-series revenue forecasting system with over 95% accuracy.
Previously at Tavano Team, I improved paid-media campaign performance by 30% using an RFM customer classifier in Python and increased client brand awareness by 15% through a city heatmap dashboard.
I'm passionate about translating raw data into valuable insights, combining SQL, Python, machine learning, and careful collaboration to drive business outcomes.
Experience
Work history, roles, and key accomplishments
Working with Agentic Workflows that optimize processes within the company. Leading the implementation of a film similarity scoring model that reports directly to stakeholders, allowing for strategic decision making.
Education
Degrees, certifications, and relevant coursework
EAE Business School
Master, Big Data & Analytics
2023 - 2024
Pursued a Master in Big Data & Analytics at EAE Business School from October 2023 to October 2024.
Availability
Location
Authorized to work in
Job categories
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