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Hi 👋, I'm Ían Muliterno

Data Scientist and Shiny Developer

Leveraging Data Engineering Skills to Enhance Data Solutions

+ 👨‍💻 I'm passionate about giving life to ideas, you can check some of them in the pinned section.
- 🛠️ Web3 enthusiast! I participated in the Chainlink Smart Contract bootcamp (Apr2024). I will soon start learning Rust.
! 📫 Feel free to get in touch! I will find my contact below.

Languages and Tools

Data and ML

r python pytorch scala scikit_learn selenium tensorflow

Cloud

aws azure

Software Engineering

git javascript typescript nodejs react

database

mysql oracle postgresql


iannimuliterno

Get in touch!👇

Ían Muliterno's Projects

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid_19 icon covid_19

Ongoing Exploratory analysis on the available data about COVID-19

cra icon cra

Customer Review Analytics

curso_pygame icon curso_pygame

Criando um jogo de naves espaciais com Pygame. Para iniciantes em Python

cv icon cv

My CV built using RMarkdown and the pagedown package.

cv-docs icon cv-docs

Storing things related to my professional background

dashnai_restaurant icon dashnai_restaurant

A dashboard powered by AI. The goal is to show insights from customer satisfaction analysis and enlight the user about actions to take in order to solve possible issues and/or to increase income

datadrivencv icon datadrivencv

R package for building customizable CVs from spreadsheets

deep-learning icon deep-learning

Study and implementation about deep learning models, architectures, applications and frameworks

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-tinder icon deep-learning-tinder

Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).

delay icon delay

Scripts and data for Modelling reporting delay for disease surveillance data using Bayesian methods.

dice icon dice

Generate Diverse Counterfactual Explanations for any machine learning model.

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

econ346 icon econ346

Code, files, and video links for ECON 346, "Applied Economic Statistics Using R" (NEIU, Fall 2021)

enar-2021 icon enar-2021

2021 ENAR Fostering Diversity in Biostatistics Computing Workshop

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