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.

  • 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

Recent Professional Experience

Landbot

09/2021 - Present

Data Analyst

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

  • Improved stakeholder trust by building high-quality data models that ensure data integrity across dashboards and analyses using SQL and Python.
  • Spearheaded a substantial increase in daily active users of the data platform from 2 to 23, representing approximately 1/3 of the company. LinkedIn post
  • Established and maintained ETL workflows, streamlining data processes for improved efficiency and accuracy. LinkedIn Post
  • Defined user activation metrics, providing crucial insights into user engagement and product performance.
  • Successfully executed the migration of the entire Product Stack, ensuring seamless continuity and optimal performance.
  • Mentored junior team members, fostering skill development and knowledge transfer within the team.

Alten

02/2021 - 08/2021

Data Scientist

Alten is a French multinational consulting and engineering company.

This was a 5 months consulting project.

  • Developed and implemented ETL pipelines, ensuring seamless data integration and accuracy.
  • Developed interactive dashboards in Tableau, providing actionable insights for strategic decision-making.
  • Collaborated with the marketing team during a five-month consulting period, reporting directly to the EMEA Marketing Director.

Digital House

2019 - 2020

Data Scientist

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

  • Supervised the creation of a data lake and a data warehouse for all flows of information (CRM, APIs, Internal systems).
  • Collaborated with the product team and developers to enhance product performance through insightful analysis.
  • Spearheaded the development and deployment of machine learning models, elevating company capabilities.
  • Implemented automation of processes and reporting.
  • Mentored junior team members, fostering skill development and knowledge transfer.

Freelance

2019

Data Science

Work for different companies and industries

  • Conducted in-depth product analysis, extracting actionable insights for various industries.
  • Developed dynamic dashboards, aligning with key business KPIs for impactful decision-making.

MetLife

2017 - 2018

Data Analyst Jr.

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

  • Developed complex statistical models for the calculation of embedded value (EV) and US GAAP for the LATAM region.
  • Performed projections of the products in each country belonging to the LATAM region.
  • Implemented automation of reports for each of the member countries of the LATAM region.
  • Implemented standards for measurement and calculation practices of the risks related to products in the LATAM countries.

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

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)

Harvard University

2020

Course CS50

CS50 is an introductory computer science course that teaches algorithmic thinking, efficient problem-solving (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.

Skills

Technical Skills

Coding Languages

  • Python, SQL, JavaScrip, C/C++

Databases

  • Postgres, Bigquery, MySQL, MSSQL, Mariadb, Mongo db

Dashboard

  • Power BI, Tableau, Looker Studio, Lightdash

ETL Tools

  • Fivetran, Airbyte, Pentaho, Talend

Technologies & Frameworks

  • Product Analytics:
    • Mixpanel, Segment, GetCensus, Amplitude
  • Data Warehouse:
    • DBT & DBT Cloud
  • Technologies:
    • Airflow, Git, CI/CD, Docker, MS Excel, Google Sheets, Statistic, GCP, AWS, S3, SageMaker, PySpark
  • Frameworks:
    • Streamlit, Flask, Machine Learning (XGBoost, Nltk, Tensor Flow, Scikit-learn)

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