If you want to break into data science, a portfolio of completed projects is your most powerful asset. From analyzing Titanic passenger data to creating interactive dashboards, beginner-friendly ...

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...

The biggest issue facing logistics providers when it comes to providing fast and efficient delivery is the customer address. Research shows that 71% of businesses blame delivery failures on poor ...

Implemented pandas-based cleaning rules in data_preprocessing.py, transformations for salesorder.csv → clean_salesorder.csv, pipeline testing via multiple DAG runs.