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Hi there 👋

I'm Rodrigo, a data analyst, scientist, engineer, guru, sherpa... currently living in Amsterdam, NL (originally from Argentina).

I’m currently working at Vinted as a Analytics Engineer.

Before that, I worked at Felyx as an Analytics Engineer too. I've also worked at Amberscript setting up the analytics-BI department. I was in charge of the whole analytics ecosystem, from ingestion to visualization and insight-sharing. I've also worked as a Data Scientist for Tiendanube & Nuvemshop, a B2B, SaaS company, for almost two years. In that job I had to handle big amounts of data, implement supervised and unsupervised ML models, report insights to key stakeholders, and lead a team of four data scientists. You can read a little bit more about those projects here.

My journey to Data Science began when I started my Ph.D. in psycho and neurolinguistics. In that process, I realized that what I loved most was designing and implementing experiments, and modeling data to analyze the results. Thus, I started studying descriptive and inferential statistics, machine learning, and learning to code.

In my free time, I like to read, study, and write about data science & analytics, human skills, and other things. I also love outdoor sports like rock climbing, sailing, and playing football. I also enjoy building things, woodworking, and gardening. I fixed a 12ft. sailboat and I've been building a 14ft. wooden boat!

Projects

I have worked on, or supervised projects about:

  • Topic modelling and tagging of customer support conversations
  • Customer clustering using Amplitude events and product configurations
  • Chatbot for customer support
  • Data Science toolkit for our team
  • Quality lead predictor: predict if a trial will pay after trial period
  • Quality partner predictor: predict if a commercial partner will bring a new client
  • Churn analysis: failed predictor project =(
  • Perfect client modelling to find out what our best clients do and how we can make recommendations based on those practices to other clients
  • Market basket analysis for apps marketplace
  • Customer journey visualization using Amplitude events and sankey diagrams
  • A/B tests of user onboarding
  • A/B tests of e-commerce checkout page
  • Crawling of instagram and twitter metrics, competitors, churned clients, etc.
  • Attribution models for performance marketing
  • Allocation of revenue and financial consolidation
  • Unit economics and PnL (CAC, LTV, etc.)
  • And many more!

Gists

Check out my gists with useful snippets for NLP and discrete event simulations.

Personal website

In my blog I share some thoughts and stories about Data Science and Analytics.

Rodrigo Loredo's Projects

dbt-core icon dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt-snowflake icon dbt-snowflake

dbt-snowflake contains all of the code enabling dbt to work with Snowflake

elementary icon elementary

Open-source data observability for analytics engineers

jspsychtutorial icon jspsychtutorial

Curso: implementación de experimentos psicolingüísticos en Internet con jsPysch

pln-uba-2019 icon pln-uba-2019

Introducción al Procesamiento de Lenguaje Natural - UBA 2019

whatido icon whatido

Resources for my blog: whatido.com.ar

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