THESE PROJECTS DEMONSTRATE MY PROFICIENCY IN PYTHON, INCLUDING MY ABILITY TO WORK WITH COMPLEX DATASETS.
THEY SHOWCASE MY SKILLS IN DATA EXPLORATION, STATISTICS, DATA VISUALIZATION AND DATA AUTOMATION, EMPLOYING NUMPY, PANDAS, SEABORN, AIRFLOW AND MATPLOTLIB TO ACCOMPLISH THESE TASKS.
Airflow ETL Sales Analytics Pipeline
This project demonstrates the use of Apache Airflow to create an ETL (Extract, Transform, Load) pipeline for analyzing sales data. The data was extracted from its source, transformed to meet the requirements of the analytics layer, and loaded into a data warehouse for analysis.
Analyzing Student Behavior
What trends and patterns can be observed in the data, and what do they indicate? What are the key factors influencing student performance? How can this information be used to improve educational outcomes?