I'm Marcos Mansur, a Data Scientist with a bachelor in Production Engeneering from Brazil.
LinkedIn: https://www.linkedin.com/in/mmansur/
Some of my study projects:
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Energy consumption forecast with RNN - My monography developed to acquire the Bachelor title in Production Engineering from UFF. A recurrent neural network model (based on tensorflow) to forecast the energy consumption of the southeast region of Brazil for the 5 next weeks (outputs a sequence). The model was trained on public data from ONS (Operador Nacional do Sistema Elétrico) and proposes a solution to the energy forecasts that ONS demmands weekly from companies operating in energy distribuition. The study compares the performance from models trained to forecast 5 next values from a time series in one shot vs forecasting the next value and auto regressively feeding each prediction as a data point for the next prediction. Uses DVC and MLFlow for data versioning and experiment tracking.
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Titanic survival prediction model - Machine Learning model to predict survivability of Titanic passangers. CI basic structure on yaml file to print performance metrics as comments in pull requests.
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Time series Regression Model for VLabs Challange - ElasticNet Regressor to predict how much each client is going to spend in the next 90 days based on data from 14 months of purchases. 5 diferent models to predict customer lifetime value by channel of sale. Scored second place in the leaderboard out of 17 teams. (Notebooks in portuguese-BR)
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Tabular Data Sep21 Analysis- Kaggle competition - LightGBM regressor tuned with bayesian optimization (optuna) for the tabular data competition. The dataset has 118 unnamed numeric features and the missing values are significantly relevant for prediction.
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IDHM prediction of brazilian cities - Voting regressor of 4 tree-based algorithms to predict de IDHM (Municipal Human Development Index) of brazilian cities
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Deployed Web App to compare routes on a map - A Streamlit based deployed web app that plot multiple routes on a map for comparison and geospatial analysis. You can play with the app at: https://share.streamlit.io/marcos-mansur/plot_route_app/main/MyApp.py
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Web Scrapping learning projects - a robot to download book covers from https://inventwithpython.com/ and another that plays simple instructions and record the board of each play at 2048 with selenium and bs4.