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Diego Flórez-Estrada

data scientist | machine learning engineer

Puede desplazarse Madrid

  • 40.4167
  • -3.7036
Proponer un proyecto El proyecto sólo comenzará si aceptas el presupuesto de Diego.
Proponer un proyecto El proyecto sólo comenzará si aceptas el presupuesto de Diego.

Localización y desplazamiento

Madrid, España
Puede trabajar en tus oficinas en
  • Alrededor de Madrid y 50 kms





Habilidades (7)

Diego en pocas palabras

Currently working as a ML Engineer for social good, while for the last years I’ve been applying my Data Analytics skills to solve business problems. I have 3 years of experience on the business & marketing field, being focused on the analysis of company needs and client acquisition & clustering. I am a passionate of the tech and startup ecosystem, a Python lover and I am really, really interested in fields such as AI, education & progress.



High tech

Machine Learning Engineer

Madrid, España

junio de 2020 - Hoy (1 año y 3 meses)

• Tested different classification outputs (binary & multi-output), as well as different classifier models to solve one of the main tasks of the project.
• Designed the architecture and pipelines to extract and clean the main features that were used in the Machine Learning Classifier model to predict a binary dependent variable.
• Made the hyper-parameter tuning for the final LightGBM model and main contributions to the final script structure, to ensure a correct workflow and prediction.
• Developed an Instagram scraper with the aim of clustering topic comments through NLP & clustering techniques.
Machine Learning NLP Clustering Classification Scraping Geo-Analytics Data Science


High tech

Data Analyst

Madrid, España

marzo de 2018 - marzo de 2020 (2 años)

• Developed the internal analytical pipeline for the paid acquisition channel, by analyzing the accounts structure and ROI, allowing us to grow by 20%-30% in client acquisition the 1st year.
• Developed the structure and maintenance of the BigQuery database, where the user acquisition data was continually being updated and able for extraction.
• Developed different easy-to-use Tableau dashboards that allowed decision makers to invest money/efforts in the different digital acquisition channels based in the company needs.

Japan Tobacco International (JTI)

Sector agroalimentario


Madrid, España

julio de 2016 - julio de 2017 (1 año)

• Worked as a marketing analyst in two brand group teams, making data analysis and reports of the product with Siebel (Oracle) and Qlikview.

Recomendaciones externas

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