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Rodolfo Lima's Projects

aave-v3-subgraph-and-adapter icon aave-v3-subgraph-and-adapter

Subgraph deployed to index lending-related events like borrowing, supply, repayment, and liquidations in AAVE v3 on Arbitrum and a Python adapter to extract the data in a readable format

base-blockchain-testnet icon base-blockchain-testnet

Repository created to store information from my blockchain projects about the new Coinbase L2 blockchain

curve-trading-volume-dynamics icon curve-trading-volume-dynamics

The objective of this project is to dive into Curve Finance to analyze trading volume patterns and behaviors on this decentralized exchange tailored for stablecoin trading and yield farming. The main task is to uncover valuable insights that can inform investment decisions, predictions, and the adoption of decentralized finance.

dealing-with-violence-through-economics icon dealing-with-violence-through-economics

This project represents my contribution to a data science challenge planned by BCG Gamma and Iguarapé institute which objective is to give a solution for the high and persistent violence in Brazil.

flaskdir icon flaskdir

This application was created to retrieve the amount of not paid bills and these bills as such, given a due date range

gpe-data-analysis icon gpe-data-analysis

Studying the correlation between the students' performance of the test for enrolling in a preparatory course offered by a volunteer organization and their socioeconomic data.

gpe-data-modeling-project icon gpe-data-modeling-project

This project is part of a digital transformation headed by me in a non-profit organization whose goal is to make education more democratic. The organization’s name is Grupo Pró-Estudar (GPE), and it offers preparatory courses for entrance exams in Brazilian universities for low-income individuals.

knn-classification-application icon knn-classification-application

This project is my first machine learning application that consists of classifying if a worker earns more or less than 50.000 USD yearly, given multiple variables like gender, education, occupation, age, etc. I've chosen the KNN (K Nearest Neighbors) algorithm to achieve that.

metamask-swap-analysis icon metamask-swap-analysis

I'm bringing to the table my SQL, Python, Tableau, Product Analytics and on-chain analysis skills to build a valuable dashboard about metamask activities

moving-least-squares-method-application icon moving-least-squares-method-application

I've applied the moving least squares (MLS) method to approximate a trigonometrical function to three different curves. The MLS is a higher precision method used in data fitting. The algorithm developed was a homework result of numerical method classes.

navigating-through-doug-car-scores- icon navigating-through-doug-car-scores-

The objective of this challenge is encompassesing several dimensions of data analysis, from data cleaning and exploratory data analysis to insightful data visualization and predictive modeling

sybil-detection-- icon sybil-detection--

Project focused on researching a potential sybil network within the cryptocurrency ecosystem. This project involves extracting and analyzing data from multiple blockchains through Dune, including but not limited to Arbitrum, Polygon, Moonbeam, and Base

uniswap-l2 icon uniswap-l2

Repository dedicated to run some analyses about Uniswap protocol in different blockchain network

uniswap-pool-analyzer icon uniswap-pool-analyzer

Repository for storing some scripts and code I used to develop an analytical tool regarding Uniswap V3 liquidity pools

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