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Diego Flórez-Estrada Data Scientist | Machine Learning EngineerDF

Diego Flórez-Estrada

Data Scientist | Machine Learning Engineer
  • Tarifa aproximada
    100 € /día
  • Experiencia3-7 años
  • Tasa de respuesta40%
  • Tiempo de respuesta1h
El proyecto se dará por comenzado una vez hayas aceptado el presupuesto de Diego.
Localización y desplazamiento
Localización
Madrid, España
Puede trabajar en tus oficinas en
  • Madrid y alrededores (hasta 50 kms)
Verificaciones

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Habilidades profesionales (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.
Experiencia
  • Omdena
    Machine Learning Engineer
    HIGH TECH
    junio de 2020 - Hoy (4 años y 11 meses)
    Madrid, España
    • 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
  • Sortlist
    Data Analyst
    HIGH TECH
    marzo de 2018 - marzo de 2020 (2 años)
    Madrid, España
    • 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.
    SQL PostgreSQL Big Query ETL Tableau software Data Analytics
  • Japan Tobacco International (JTI)
    MARKETING ASSISTANT ANALYST
    SECTOR AGROALIMENTARIO
    julio de 2016 - julio de 2017 (1 año y 1 mes)
    Madrid, España
    • Worked as a marketing analyst in two brand group teams, making data analysis and reports of the product with Siebel (Oracle) and Qlikview.
    Microsoft Excel Siebel Qlik Data Analysis
Recomendaciones externas
Formación
  • B.S. IN BUSINESS ADMINISTRATION (ENGLISH DEGREE)
    Universidad Carlos III
    2016
    • Got an Erasmus exchange in Slovenia, to specialize my profile in Econometrics, Statistics, Game Theory, Consumer Behavior & Marketing fields.
  • DATA ANALYTICS/SCIENTIST BOOTCAMP
    Ironhack
    2020
    • Made the Data Science Bootcamp to improve my Data Analytics Skills, making, as final project, a model able to cluster and predict a Github user based in his/her programming experience.