Patricio Villanueva

I'm

About Me

I have a degree in Actuarial Science and experience analysing data and building complex statistical models.

Moreover, I am someone that has a passion for mathematics and technology. Therefore I try to combine these passions with my work. Furthermore, I found my passion in analysing data and achieving an added value using them.

Location:

Barcelona, Spain

Full CV:

Download Here!

Actuary & Data Scientist.

Always looking to contribute to a data-driven mindset within the company.

  • Birthday: 3 January 1996.
  • Citizenship: Italian & Argentinian.
  • Currently in: Barcelona, Spain.

I love working for disruptive and ambitious companies that want to rethink the way we do things. Moreover, I enjoy working in projects that have a direct impact on the product and therefore in the end-user.

Resume

Sumary

Education

Udacity

2021

Machine Learning Engineer

AWS SageMaker tools and libraries to build and deploy models. Also, it shows how to use different AWS tools such as Lambda, Cloud Watch & S3 among others

Coursera, deeplearning.ai

2020

Deep Learning Specialization

Specilization in Deep Learning with courses on Convolutional Neural Networks & Sequence Models and concepts such as hyperparameter tuning, regularization & optimization

Harvard University

2020

Computer Science: Artificial Intelligence

Course on AI concepts and algorithms such as graph search algorithms, classification, optimization, reinforcement learning (see full Syllabus in my Github)

Digital House

2018

Data Science Fellow

An intense fellowship to aquired and gain knowledge data science and tech skills. The Syllabus contains data science tools, statistics & machine learning

Universidad del Salvador, Argentina

2014 - 2018

Actuarial Science

6 years course of study (equivalent to and BSc. & MSc.) oriented to applied statistics and mathematics for probability and risk models


  • Minor in Finances
  • Award-winning thesis involved studying the Europeanregulation for the financial and insurance industry andhow could it be applied in Argentina.

Recent Professional Experience

Landbot

09/2021 - Present

Data Analyst

Landbot is a Barcelona based start-up in the no-code chatbot builder industry.

  • Built a Data Lake & Data Warehouse with DBT.
  • Mentor other analysts & interns.
  • Built dashboards with Data Studio.
  • Advised product teams on their tracking needs.
  • Ad-Hoc analysis with the purpose of generating business insights and KPIs for the business.
  • Contributed to the creation of a data-driven mindset.

Alten

02/2021 - 08/2021

Data Scientist

Alten is a French multinational consulting and engineering company.

Currently, I am in a 5 months consulting project.

  • Reported directly to the EMEA Marketing Director
  • Data Visualization with Tableau
  • Data cleaning & Data Enrichment
  • ETL and Data pipelines in Talend and in openPrise

Digital House

2019 - 2020

Data Scientist

Digital House is an Argentinian edTech company, leading the digital education in Latinoamerica.

  • Direct Report to the C-Level.
  • In charge of the creation of a data lake and a datawarehouse for all the flows of information (CRM, APIs,Internal systems).
  • Worked with the product team performing analysis and helping to improve the product.
  • Builded Machine Learning models and deploying themthrough microservices using Flask and Docker.
  • Ad-Hoc analysis with the purpose of generating business insights and KPIs for the new business.

Freelance

2019

Data Science

Work for different companies and industries

  • Data cleaning and product analysis for different customers.
  • Dashboards development with the main KPI’s of thebusiness.

MetLife

2017 - 2018

Jr. Actuary

MetLife is one of the largest insurance companies in the world.

  • Global Actuarial Modeling team and financial projections for LATAM region, where I developed complex statistical models.
  • As part of the development team, I was in charge of building, implementing and supporting models from their development until they were in production
  • Performance projections of the products in each country belonging to the region.

Skills

Technical Skills

  • Python
    • Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn, Nltk, Tensor Flow, XGBoost, Flask, Django, PySpark, SQLAlchemy, MatplotLib
  • AWS SageMaker
  • SQL Databases & Non-SQL Databases
    • BigQuery, My SQL, PostgreSQL, Microsoft SQL Server
    • Mongo DB
  • JavaScript
    • Express, EJS, Nodemon, Sequelize, Bcrypt, Multer, Mysql2, React
  • C/C++
  • VBA
  • Dashboard Tools:
    • Power BI, Tableau, Data Studio
  • ETL Softwares
    • DBT & DBT Cloud, Pentaho, Talend, openPrise
  • Git
    • CI/CD with Github and Gitlab
  • Product Analytics Tools:
    • Mixpanel
  • Docker & Docker Compose
  • Apache AirFlow
  • Jupyter Notebook

Languages:

  • SPANISH Native
  • ENGLISH Bilingual
    • Cambridge Advanced Exam (C1 Level), Cambridge
  • FRENCH Intermediate
    • DELF B1 certificate
  • ITALIAN Intermediate

Soft Skills:

  • Agile Methodology
  • Adaptability
  • Critical Thinking
  • Team Player
  • Communication & Storytelling
  • Curiosity
  • Product Understanding & Business Sense
  • Proactive