Welcome :beers:

I’m Gerard Bentley, a software engineer interested in the web, machine learning, and how both impact us. This is my homepage, feel free to poke around.

Currently most excited about time series data for environmental and social impact.

Recently I’ve been working mostly in Python on topics ranging from ETL automation to mortgage returns to Computer Vision.

This site is forked from the fastpages template; An easy to use blogging platform with extra features for Jupyter Notebooks.

Some Demos

Here are some apps I’ve built in 2022 with Streamlit!

💾 Pipreqs API + Streamlit Frontend

Open in Streamlit

FastAPI backend hosted on Heroku to parse repos and use pipreqs to spit out a minimal requirements.txt!

See: Github Repo

🚰 LightGBM Water Pump Predictions

Open in Streamlit

Data Science project based on DrivenData “Pump It Up” competition. Includes Data Exploration, Feature Engineering, and training and predicting functionality of water pumps with LightGBM

See: Github Repo

:dart: Darts API Playground

Open in Streamlit

Explore the Datasets, Metrics, and Models of the Darts Time Series library.

See: Github Repo

:computer: Streamlit Full Stack 3 Ways

Demo of Full Stack Streamlit Concept. Deployed with 3 increasingly complicated backends.

See: Github Repo

:mouse: Littlest

Open in Streamlit

:elephant: Postgres Version

Open in Streamlit

:rat: Go Backend Version

Open in Streamlit

:chart_with_upwards_trend: Fidelity / Personal Stock Account Dashboard

Open in Streamlit

Upload a CSV export from Fidelity investment account(s) and visualize profits and losses from select tickers and accounts.

See: Github Repo

Open in Streamlit

Using AWS Rekognition + Streamlit to provide interactive OCR URL Scanner / Text Extraction on real world images.

See: Github Repo

:mount_fuji: Peak Weather: NH 4,000 Footers

Open in Streamlit

Use async http request library httpx to make 48 api calls roughly simultaneously in one Python process. Feed a dashboard of weather for all 4,000 foot mountains in New Hampshire.

See: Github Repo

Posts

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