Changing life's attributes, keeping the dimensions active. #SCDLife
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Local-Data-Engineering-Environment-with-dlt-DuckDB-Jupyter
Create a complete local data engineering environment using modern open-source tools for data processing, transformation, and analytics. The environment should be self-contained, reproducible, and suitable for learning, prototyping, and personal data projects
Jupyter Notebook
NiftyPulse_ETL-Pipeline-For-Market-Analysis
This project builds an automated ETL pipeline using Apache Airflow to fetch daily stock market data from NSE and store it in a PostgreSQL database.Tech Stack : Python , Airflow, PostgresSQL, Pandas
Python
WeatherLens-Weather-ETL-Pipeline
This project builds a daily ETL pipeline using Apache Airflow to fetch weather data from the Open-Meteo API and store it in a PostgreSQL database.
Final-Year-Project-Hybrid-Model
ParaBERTa is a hybrid deep learning architecture that combines the contextual strength of DeBERTa with the local pattern recognition of parallel CNNs to detect fake news with high precision. This model is designed to capture both global semantic meaning and localized linguistic cues that indicate misinformation.
AI-Agent-for-Data-Cleaning-and-Preprocessing
AI Agent for Data Cleaning and Preprocessing
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