streamlit

Company Ticker Predictor s designed to leverage deep learning for more accurate predictions of company ticker prices. This system uses a multi-layered LSTM model to capture temporal dependencies in historical data, making it particularly effective in handling sequential data and ticker market volatility. The entire prediction pipeline is integrated and deployed using Streamlit.

"I have created a Streamlit dashboard that provides detailed information about a single spider's chain. This dashboard assists our engineering team in investigating chain details, featuring graphs, CSV files, and other pertinent information related to spiders. The dashboard also includes interactive elements for data exploration, real-time updates, and customizable filters to analyze specific aspects of the spider's performance and behavior. Additionally, it integrates with our existing data pipelines to ensure seamless data retrieval and presentation."

A Streamlit+Snowflake app for automatically loading uploaded CSV files to brand new tables in a staging area.

Simple framework for a chat UI that an organization can offer its internal staff through Microsoft Single Sign-On

I created this project with the intention of applying new skills acquired in courses and internships.