Machine Learning / Causal Inference
Machine Learning / Causal Inference
I am a Research Assistant at EconomicAI, Pontificie Universidad Católica del Perú (PUCP) and Carleton University . I got my bachelor degree in economics at Universidad Nacional Agraria La Molina (UNALM) and a Graduate Diploma in Econometrics at Universidad Nacional de Ingeniería (UNI). My main fields of intereset are Labor Economics, Microeconometrics and the intersection of Machine Learning and Causal Inference . I’m currently working on an exciting project at the intersection of machine learning and causal inference: Heterogenous Treatment Effect and Double/debiased Machine Learning.
I take courses of Applied Econometrics and Machine Learning. Additionally, I belong to the LINAR lab
I take courses of Panel Econometrics, Propensity Score Matching, Difference in differences, IV and RCT.
Top 10% of my cohort.
I work with nonparametric econometrics and machine learning to build prediction models.
I use OCR to get information from peruvian census since 1965.
I estimate the electoral effects of providing Property Rights programs on urban squatters in Peru.
This repository contains web scrapers of National Identification Offices of some countries.
Read MoreI developed a business dashboard using administrative data from NQuispe E.I.R.L.
Read MoreI use OCR to get information from scanned files of the census of 1965
Read MoreThis Bookdown replicates the code from Chernozhukovs' course and Susan Athey's book using Python and R.
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