Curriculum Vitae

Work Experience

  • 01/04/2024-Present Principal Data Scientist, PyMC Labs, Remote.

    • Project management for our AI solutions: integration with open source and product development for clients to boost business value.
    • Working on open-source software packages and helping clients use them and get the best of them to generate business value.
    • Advising on data science projects in the area of marketing analytics, causal inference and experimentation.
    • Coaching and technical workshops on Bayesian statistics and applications.
    • Technical writing and communication.

  • 01/06/2025-31/12/2025 Principal Data Scientist (AdTech and Statistical Modeling), Delivery Hero, Berlin, Germany.

    • Advanced statistical modeling and simulations to optimize the ads marketplace.
    • Lead and guide data science and software engineering best practices for our bidder products.
    • Collaborate with senior management and engineering leaders to define the product roadmaps for our ad products.
    • Creator and organizer of the causal inference book club to bring together the data science community at Delivery Hero and entities to engage in discussions and knowledge sharing on topics around statistical modeling, causal inference and experimentation.

  • 01/08/2029-31/05/2025 Senior Applied Scientist (Pricing & Forecasting), Wolt, Berlin, Germany.

    • End-to-end deployed product-level (~ 100K time series) demand forecasting models for Wolt Market.
    • Scoping (product requirements and simulations), planning, and executing pricing experiments.
    • Price elasticity estimation for thousands of retail products using modern Bayesian methods at scale.

  • 01/10/2021-31/07/2023 Senior Applied Scientist (Marketing Tech), Wolt, Berlin, Germany.

    • Member of the marketing tech team, a cross-functional product team. I am leading the data science projects from conceptualization, and modeling to deployment.
    • Developing data science products in the following domains: marketing attribution, customer lifetime value, churn prediction and prevention, cohort revenue-retention matrix modeling, A/B testing, marketing efficiency measurement and optimization through geo-experimentation, causal inference methods and media mix models (via modern Bayesian techniques in PyMC).
    • Mentoring and coaching data scientists (technical, project management and soft skills).

  • 01/03/2020-30/09/2021 Senior Data Scientist (Forecasting), HelloFresh SE, Berlin, Germany.

    • Main contributor of the data science efforts in the meal-box, recipe and add-ons forecasting, using methods in machine learning and time series analysis for various international markets. Maintained several time series models running in production and contributed to internal utility libraries in Python. Main tech stack: Python, Docker, Concourse for the CI/CD pipelines and Airflow for job scheduling.
    • Responsible for planning and developing data science products: business requirements, conceptualization, exploratory data analysis, modelling, deployment and monitoring. Collaborated closely with stakeholders, product owners, data analysts and data engineers.
    • Team member of the data science continuous learning work-stream. Responsible for the organisation and planning of knowledge sharing sessions (seminars, workshops, and external speakers)
    • Involved in the recruitment and hiring process.
    • Mentored junior/mid level data scientists.

  • 01/09/2019-31/01/2020 Senior Data Scientist, TD Reply GmbH, Berlin, Germany.

    • Project Management: Lead various data projects working closely with data engineers, consultants and clients. Mentoring junior data scientists.
    • Machine Learning + Forecasting: Sales prediction models via Time Series Analysis + ML • Explainable ML models • Media Mix modeling and ROI optimization.
    • Geolocation Modeling: Outlet Segmentation • Traffic Modeling.
    • Data Integration: Scalable automated data integration (Spark) • KPI design + definition • Tracking.

  • 01/04/2018-01/09/2019 Data Scientist, TD Reply GmbH, Berlin, Germany.

  • 01/07/2017-01/04/2018 Junior Data Scientist, TD Reply GmbH, Berlin, Germany.

    • Text Analysis: Social media text data mining. • n-gram networks • Topic Modeling.
    • Social Networks: Analysis of social network interactions, node importance and community detection.
    • Others: Dynamic data visualization (e.g. Shiny, Plotly).

  • 01/01/2017-01/07/2017 Trainee - Data Analyst, GoEuro, Berlin, Germany.

    • Integrate provider data from various sources into the search engine • Normalize and geo-reference data from different sources • Automate and define new tools to scale and increase efficiency for the data quality program.

  • 2014-2015 Student Representative, Berlin Mathematical School, Berlin, Germany.

  • 2008-2010 Teaching Assistant, Universidad de los Andes, Bogotá, Colombia.

    • Courses: Linear Algebra, Basic Physics II, Riemannian Geometry.

Volunteering Activities

Education

Selected Talks and Events

Languages

  • Spanish: Native proficiency.
  • English: Full professional proficiency.
  • German: Professional working proficiency.