José Coto

José Coto

Data Analyst

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location of José CotoBerlin, Berlin, Germany

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  • Timeline

  • About me

    Head of Data @ nebenan.de

  • Education

    • Udacity

      2017 - 2017
      Deep Learning Nanodegree Foundation Data Science
    • Pontificia Universidad Católica del Perú

      2008 - 2011
      Quantitative Courses Economics - Social Sciences
    • University of Essex

      2012 - 2013
      MSc in Political Economy (Distinction)

      • Focused on quantitative methodology.• Courses taken: Advanced Research Methods (Econometrics), Mathematics and formal models of politics.

    • Udacity

      2016 - 2016
      Data Analyst Nanodegree Data Science
    • Washington University in St. Louis

      2014 - 2015
      Doctor of Philosophy (Ph.D.) Political Science (non completed)

      Fields: Quantitative Methodology and Comparative Politics.

    • Pontificia Universidad Católica del Perú

      2002 - 2010
      Lawyer

      Cum Laude

  • Experience

    • Freelancer

      Mar 2015 - Sept 2017
      Data Analyst

      • Support clients during the analysis cycle: helping them formulating clear questions, identifying data sources, and communicating the results in a comprehensible manner.• Perform careful data collection and merging from different sources (web scraping, official records, surveys).• Present results according to original plan schedule, making sure clients understand the benefits and limitations of the analysis.

    • Universidad Antonio Ruiz de Montoya

      Aug 2015 - Dec 2015
      Instructor of Quantitative Methodology

      • Taught introductory probability and statistics seminar to university students: developed curricula, slides and materials for the course.• Taught an introductory Python and web scraping workshop for social sciences students.• Developed a Jupyter Notebook for each session with explanations and exercises and a web page to follow students’ progress (Spanish). (https://github.com/jlcoto/taller_politai/ — http://jose-coto.com/taller_python/)• Sparked students’ enthusiasm for data analysis, and encouraged them to use learned skills in their research projects.Skills: Python, Jupyter Notebook, BeatifulSoup, Jekyll. Show less

    • Door2door | the mobility company

      Oct 2017 - May 2021
      Business Intelligence Developer

      • Make data a core element of the business strategy: define, review and refine core KPIs. Develop dashboards, visualizations and ad hoc analysis to identify business patterns that optimize operations and drive productivity.• Lead efforts in data transformation: helped in migrating data pipelines to Airflow, decreasing data ingestion scheduling from daily to hourly. Maintain and update our pipelines including coordinating transformation of new data sources and events. Optimized database query performance achieving till 50% of reduction in data ingestion time.• Conceptualize and help develop internal and external reporting interface (dashboards, visualizations and metrics).• Made data quality a top priority: integrated data validation processes into our pipelines and automated corrections when data corruptions are identified.• Help conceptualize and develop our reporting web platform: select relevant metrics and design visualizations. Actively develop different endpoints of our data api. For the first time, clients —public transportation authorities— can directly access their operation’s data through the api and generate their own reports. Show less

    • Contentful

      May 2021 - Jul 2021
      Analytics Engineer
    • Nebenan.de

      Jan 2022 - now

      • Lead a group of two analytics engineers and one machine learning engineer, while coaching and supporting a data team composed of four analysts.• Supervise and actively develop over 500 dbt models, ensuring stable overall Snowflake computation costs.• Ensure data security by implementing Snowflake roles to grant appropriate access levels only to authorized personnel.• Introduce engineering development best practices within the team and across the data department, including code reviews, testing, and distinct environments for development, staging, and production.• Contribute to defining and developing KPIs, creating optimized models to reduce computation costs. Show less

      • Head of Data

        Jan 2025 - now
      • Team Lead Data and Analytics Engineering

        Jan 2023 - Jan 2025
      • Analytics Engineer

        Jan 2022 - Jan 2023
  • Licenses & Certifications