Data Science Portfolio
Personal Projects and Curiosity-Driven Explorations
Streamlit 101
tools
simulation
streamlit
The Faster You Can Iterate, The Faster You Can Learn
Introduction
we’ve embraced Streamlit as a powerful tool to bring data to life. Whether it’s showcasing results, running proofs of concept (POCs), or conducting internal simulations, Streamlit has become an integral part of how we transform raw data into actionable insights. With its user-friendly interface and interactive capabilities, Streamlit allows us to present complex analyses in a way that’s clear, engaging, and easy for stakeholders to understand. From visualizing trends to running dynamic models, it helps decision-makers dive deeper into the numbers and make informed choices with confidence.
Power BI 101
tools
simulation
power bi
Introduction
Microsoft Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights.
Kedro 101
tools
simulation
Kedro
Introduction
Kedro is an open-source Python framework that helps data scientists and engineers build reliable, scalable, and maintainable data pipelines. It brings best practices from software engineering into data science projects, making it easier to move from exploration to production.
Links
- Source code on my github