I'm a Results-driven Data Professional with over five years of experience in data analytics, SQL, Python, Tableau, and cloud technologies. I specialize in designing ETL pipelines, building data models, and automating workflows to improve efficiency and enhance decision-making processes. I thrive in leading cross-functional projects, collaborating with business stakeholders, and delivering data-driven insights that drive measurable improvements.
Here are some of the projects I've worked on:
- Developed a data warehouse with SQL-based ETL pipelines to support large-scale data analysis.
- Improved query performance and ensured seamless data ingestion and transformation.
- Built a real-time air quality monitoring system using Snowflake and Streamlit.
- Implemented CI/CD pipelines with GitHub Actions, enabling automated deployment and monitoring.
- Created a data engineering pipeline using GCP services like BigQuery, Dataflow, and Cloud Storage.
- Processed and analyzed Uber trip data to derive actionable insights and improve operational efficiency.
- Implemented Principal Component Analysis (PCA) and logistic regression models to classify music genres.
- Achieved high accuracy by optimizing feature selection and model performance.
- Developed a customer classification model to predict potential defaulters using Python and ML algorithms.
- Enhanced prediction accuracy by using feature engineering and model optimization techniques.
- GitHub: Explore my repositories
- LinkedIn: Connect with me
- Tableau Public: View my dashboards
I'm always eager to collaborate on innovative projects and explore cutting-edge technologies. Feel free to reach out to discuss potential collaborations or share ideas!
Email: rohidakaushik@gmail.com