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Hi there 👋, I'm José!

I’m currently working as a Product Data Scientist at Adevinta Marktplaats!

I enjoy using advanced data analytics, statistics, big data, and programming to guide product development. My role involves transforming complex data into actionable recommendations and providing experimentation guidance, helping teams build products that improve the user journey.

I also lecture on a Statistics and Experimentation course on our internal training platform. Here, I help non-technical stakeholders understand how to use experimentation for decision-making, enabling the creation of impactful products.

I am passionate about learning, mentoring people, and honing communication skills.

⚡ Fun Fact

  • Before venturing into the tech world, I worked for approximately 9 years in scientific research! During this time, I earned a PhD in Neuroscience focused on learning and memory, and moved from Portugal to Bordeaux, France, and eventually to New York City, USA.

🛠️ My Technical Skills

  • Data Analytics & Big Data
  • Statistics & Experimentation
  • Product Development
  • Programming (Python & Sql) & Technical Tools (Git, Databricks, GCP, Tableau)

📫 You can reach me on:

José Oliveira da Cruz's Projects

animanager icon animanager

short script that I use to create records for experimental subjects/experiments.

arduino icon arduino

Arduino sketches used to interact with micro-controllers and Bonsai layouts used for data acquisition.

behavior icon behavior

Code that I use to analyse behavioral data

bootcamp icon bootcamp

Caltech Introduction to Programming for the Biological Science Bootcamp

cncc-2019 icon cncc-2019

Computational Neuroscience Crash Course (CNCC 2019)

conda icon conda

Specifying a conda environment with `environment.yml`

datascience_projects icon datascience_projects

Repository with code and notebooks used to train myself in statistics, probability and machine learning using publicly available datasets.

datasciencecourse icon datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

dlcutils icon dlcutils

Various scripts to support deeplabcut...

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

nbstripout icon nbstripout

strip output from Jupyter and IPython notebooks

swdb_2019 icon swdb_2019

Repository for course materials for the Summer Workshop on the Dynamic Brain 2019

udacity-ds-project1 icon udacity-ds-project1

Data Science: Exploratory data analysis of restaurants providing outdoor dining in NYC.

udacity-ds-project2 icon udacity-ds-project2

Full Stack Web Development: created and deployed a dashboard to visualize noise complaints in NYC from 2019 to 2021.

udacity-ds-project3 icon udacity-ds-project3

Data Science: Using Natural Language Processing, Supervised Machine Learning and Web Development to classify disaster messages during catastrophic events.

udacity-ds-project4 icon udacity-ds-project4

Recommendation systems: Rank based and Collaborative Filtering (Neighbor-based and Model-based) approach to recommend articles based on user-article interactions.

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