Hello!
Welcome to my Personal website.
I am Ignacio Peletier a Spanish Telecommunications engineer specialized in Data Science. Constantly learning, currently I am immersed in topics such as causal inference and Bayesian statistics.
Blog
Although I will cover diverse topics in my blog, you will mainly find: statistical inference, causal inference, bayesian statistics and machine learning.
- Valorant Aim. Here you will find an analysis about accuracy with different guns while playing Valorant.
- Valorant Aim: The Bayesian Way. Using the same data as the previous post, we build a logistic regression the Bayesian way.
Résumé
I have experience in topics related with machine learning and statistics. I have worked from projects on image classification and object detection to optimize specific metrics using machine learning and measuring results with Causal Inference techniques, both in experimentation frameworks and with observational data.
Starting from hardware, I switched to the software world in my first job at Epic Labs. After working there with deep learning for a year, I decided to strengthen my knowledge by coming back to school and study a master's degree. I joined a research group in my last two years of my Bachelor's and during my master's.
Once I finished my master's degree I came back to Epic Labs, they had started their own product: Lightflow, which was then acquired by Haivision.
Currently, I work as a Senior Data Scientist at Cabify in the pricing squad.
Timeline
Senior Data Scientist at Cabify Madrid, Spain | May 2022 - Actual
Data Scientist at Haivision Madrid, Spain | March 2020 - May 2022
Machine Learning Engineer at LightFlow (acquired by Haivison) Madrid, Spain | June 2019 - March 2020
Deep Learning and Blockchain Researcher at GAPS, UPM Madrid, Spain | September 2018 - June 2019
Deep Learning Engineer at Epic Labs Madrid, Spain | July, 2017 - July 2018
Microwave and Radar group, UPM Madrid, Spain | September 2015 - June 2017
Education
Master in Signal Processing and Machine Learning for Big Data, UPM Madrid, Spain | 2018 - 2019
Electrical Engineering and Computer Science degree, UPM Madrid, Spain | 2013 - 2017
Complementary Education
I have extended my education studying (ordered by last):
- Statistical Rethinking
- Causal Inference in Statistics: A primer
And doing in Coursera:
- Crash Course in Causality: Inferring Causal Effects from Observational Data
- Essential Causal Inference Techniques for Data Science
- Statistical Modeling for Data Science Applications Specialization:
- Modern Regression Analysis in R
- ANOVA and Experimental Design
- Generalized Linear Models and Nonparametric Regression
- Practical Time Series Analysis
- Practical Machine Learning
- Regression Models
- Statistical Inference
- Bayesian Statistics: From Concept to Data Analysis