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:
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