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Dheiver Santos

Senior Data Scientist | Deep Learning
Open Source

PROJECTS

Titanic - Machine Learning from Disaster

Start here! Predict survival on the Titanic and get familiar with ML basics

KNN Predict survival on the Titanic

Predicting Titanic Survival using KNN Python notebook using data from Titanic - Machine Learning from Disaster .

Bombay Stock Exchange

Bombay Stock Exchange

EDA Preprocessing

Predict Stock Prices.There are two ways one can predict stock price. One is by evaluation of the stock’s intrinsic value.

Awesome README

E-coating ultrafiltration maintenance dataset

coating process multiple filters

E-paint coating process including degradation progressions for multiple filters.

COVID 19 Detection

Solar Power Generation EDA and Prediction

Gradient Boost Optimization Feature Engineering

In this notebook, the data from the power generation sites will be examined, cleaned, and some predictive modeling will be demonstrated.

Data Science Bootcamp

Machine Learning for Predictive Maintenance

Feature Engineering Predictive Maintenance ML (IIoT)

The objective of this project is to know the probability of failure of a component of a machine in the near future.

Smile Detector

Predictive Maintenance Of Hydraulics System

LogisticRegression RandomForestClassifier

Condition monitoring of hydraulic systems.

Dog Eyes

Maintenance of Naval Propulsion Plants Data Set

EDA: Data visuallization PCA: Feature selection GridsearchCV

In this case-study, we generate a predictive model to predict of decay state of rotating equipment using.

TensorFlow Lite

Temperature Readings : IOT Devices

matplotlib numpy e pandas

Relational dataset from IOT devices to record temperaure readings.

Hear Disease Classifier

Preventive to Predictive Maintenance

numpy e pandas

Machine learning on remaining useful life prognosis (PHM).One key task in PHM is the reliable prediction of remaining useful life (RUL) of an equipment.

Predictive maintenance of wind turbine

Predictive maintenance of wind turbine

Data Science Deep Learning Remaining Useful Life (RUL)

Remaining Useful Life (RUL) of the low-speed shaft, when fretting-fatigue crack appears, is increased from 50% to 96%.

Real-time in-vehicle data and AI technologies provide the key to predictive maintenance

Real-time in-vehicle data and AI technologies provide the key to predictive maintenance

Deep Learning AI technologies

With its host of potential benefits for vehicle owners and manufacturers, predictive maintenance is expected to be increasingly adopted in the automotive industry.

Predictive Maintenance in Aviation: Failure Prediction

Predictive Maintenance in Aviation: Failure Prediction

aircraft failure prediction critical failures

First attempt on aircraft failure prediction using post flight report data and finally, our findings show high potential impact on the aviation industry.

ABOUT

Experienced Business Intelligence Engineer and Data Scientist with a demonstrated history of working in the internet industry.Skilled in Statistics, Machine Learning, Data Warehousing, Python, Matlab, Business Intelligence, Scrum, and Linux.Strong business development professional with a PhD degree focused in Engineering from UFBA University.

CONTACT