Luis José Zapata Bobadilla

Luis José Zapata Bobadilla

Economist - Analyst

Biography

Luis José Zapata Bobadilla is an economist, passionate about new ways of thinking money using technology, interested in processing state information and sharing this data to enhance analysts' tracking within the country.

Interests
  • Machine Learning
  • Blockchain
  • Improvment of Public Goverment Information
Education

  • Master in Quantitative Economics, 2025

    University of California Los Angeles

  • Data Science and Data Analysis for Management, 2019

    Universidad de Piura

  • Bachelor in economy, 2018

    Universidad de Piura

Projects

Projects that i work on

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All Electricity Text Mining R Webscraping Machine Learning
Using Python, SerpAPI, and GPT to Build a Smart Web Search Analyzer
In this blog post, we provide an accessible introduction to using APIs like Open Ai and SerpAPI to build a smart web search analyzer. We will walk you through the process of setting up your environment, making API calls, and analyzing the results using Python.
An Introduction to Regression Discontinuity Design (RDD)
In this blog post, we provide an accessible introduction to Regression Discontinuity Design (RDD)—a powerful quasi-experimental method for causal inference when treatment assignment is based on a cutoff. Using simulated data and step-by-step Python code, you’ll learn how to estimate the treatment effect at the cutoff, construct confidence intervals, and visualize local linear regressions.
Analyzing Bitcoin Options with Deribit API and Black-Scholes Model
Learn how to fetch Bitcoin options data from Deribit, understand the Black-Scholes pricing model, and implement delta strategies in Python.
Electricity Demand in Peru: A Regional Analysis
Exploring regional electricity consumption trends, data challenges, and actionable insights for policymakers and energy planners.
Exploring Neural Networks with Pytorch
In this blog, we’ll explore how to use a neural network built with PyTorch to predict handwritten digits from the MNIST dataset. Along the way, we’ll break down key concepts like tensors, neural network architecture, and training processes, making it easier to understand the fundamental building blocks of deep learning.
Kernel Density and Local Estimators with Confidence Bands
A detailed guide to Kernel Density Estimation, Local Constant and Local Linear Estimators with applications to financial data.
Presidential Elections in Peru 2021: A Text Analysis
An in-depth text analysis of the government plans, sentiments, and key insights from the 2021 Peruvian presidential elections.
Webscraping 201
A practical demonstration on how to obtain information links using the search tool from the Peruvian government website (gob.pe)
Office Skills with Word
A quick introduction to tips for effectively working with Word
Office Skills with Word
Webscraping 101
The internet offers a wealth of free and easily accessible information. There are two types of available data: data that can be easily downloaded through a “download” button and data visible on web pages.
Webscraping 101
Electricity for Economists I
An introduction to the basic concepts of the electricity sector in Peru
Electricity for Economists I
Electricity for Economists II
Second introduction to basic concepts of the electricity sector in Peru. Now we will discuss publicly available information on the electricity sector in Peru.
Electricity for Economists II
Electricity for for Economists III
Guide for electricity institutions
Electricity for for Economists III

Personal Posts

Personal ideas

Hello R Markdown
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.
Last updated on Nov 22, 2024 1 min read R
Writing technical content in Academic
Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest. Highlight your code snippets, take notes on math classes, and draw diagrams from textual representation.
Last updated on Mar 16, 2021 5 min read
Writing technical content in Academic
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