Joel George

• Built end-to-end automated data pipelines scraping live commodity prices from government portals
using Python and Selenium, with ETL cleaning and standardisation into a unified MongoDB database.
• Developed a machine learning forecasting model to predict short-term paddy price trends, incorporating
market seasonality and momentum features.
• Delivered production-ready Streamlit dashboards providing real-time market tracking and predictive an
alytics for agricultural price intelligence.

• Conducted extensive data cleaning, preprocessing, and web scraping on spare parts datasets to sup
port inventory and demand analysis.
• Designed and deployed interactive dashboards in Tableau and Power BI, presenting key insights to
managers to drive strategic decision-making.
• Gained practical experience in handling real-world data inconsistencies and business-logic anomalies.