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Hi there, Sergio here!🖥️⚗️

Data scientist and computational chemist passionate about using data-driven approaches to solve problems cooperatively while improving people's quality of life.

The Sceptical Chymist: or Chymico-Physical Doubts & Paradoxes is a book by Robert Boyle published in 1661 and made available online by the Project Guttenberg.

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Sergio Vechi's Projects

audio2text icon audio2text

What I learned when trying to transcribe an audio file with Python

cancer-hospital-records icon cancer-hospital-records

Explotarory Data Analysis on the cancer hospital records database, a dataset formed from data generated by several hospital institutions located in the State of São Paulo (Brazil).

churn_prediction icon churn_prediction

The probabilities calculated by the model BG-NBD are used to define the target variable to predict customer churn.

coin icon coin

Implementation of COIN from the paper "COIN: COmpression with Implicit Neural representations" .

crime_rate_by_regression_trees icon crime_rate_by_regression_trees

Predicting crime rate using DecisionTreeRegressor(), analyzing the importance of specific features, and reducing the complexity of the model.

crm icon crm

Exploratory data analysis, data cleaning, and feature engineering were performed, then regression models using linear regression, decision tree, random forest and xgboost were built and evaluated. The customer segmentation was addressed using k-means clustering.

ebayusedcarads icon ebayusedcarads

Exploratory data analysis to probe Kleinanzeigen used car ads. How mileage influences the price?

employee_retention_lr icon employee_retention_lr

Predicting employee retention using LogisticRegression() classifier, exploring metrics, building ROC curves.

exploringhackernewsposts icon exploringhackernewsposts

Exploratory data analysis to investigate trends in the data set of the Hacker News site. Which posts (ask or show) receive more comments on average? Is there a best time to post?

heart_disease_risk_classifier icon heart_disease_risk_classifier

Selecting and training a classification model to predict the risk for heart disease, putting it to a web service using Docker and BentoML, and deploying to a cloud platform.

mapping_app_profiles icon mapping_app_profiles

Mapping apps for profitability at the App Store and Play Store. How data analysis of app profiles can help in improving the profitability of the business?

predicting_survival_rates icon predicting_survival_rates

Several baseline models were built to predict the survival rate of patients after one year of treatment. The best ranked by the F1 score were selected and improved since this was the evaluation criteria for this task.

sustainable_deepfashion icon sustainable_deepfashion

Imagine you are all about protecting the environment, trying to address some problems of fast fashion, and want to wear sustainable clothing only. You care a lot about fashion, too! But it's hard to find sustainable pieces that match the ideas you have for your look. Imagine you could take a picture of a trendy person on the street and get recommendations on what they are wearing, but from a second-hand market. This is what our app deep fashion does.

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