https://github.com/kaushikrohida/kaushikrohida
https://github.com/kaushikrohida/kaushikrohida
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/kaushikrohida/kaushikrohida
- Owner: kaushikrohida
- Created: 2025-03-23T01:53:50.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-04-04T01:40:15.000Z (about 2 months ago)
- Last Synced: 2025-04-04T02:30:51.527Z (about 2 months ago)
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hi, I'm Kaushik Rohida! 👋
## About Me
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.
## Projects
Here are some of the projects I've worked on:
### [**SQL Data Warehouse Project**](https://github.com/kaushikrohida/sql-data-warehouse-project)
- 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.
### [**Air Quality Index Monitoring Pipeline**](https://github.com/kaushikrohida/Air-Quality-Index-Monitoring-Pipeline---Snowflake---Streamlit---Github-Action--CI-CD-)
- Built a **real-time air quality monitoring system** using Snowflake and Streamlit.
- Implemented CI/CD pipelines with GitHub Actions, enabling automated deployment and monitoring.
### [**Uber Data Engineering Project with Google Cloud Platform**](https://github.com/kaushikrohida/Uber-Data-Engineering-Project-with-Google-Cloud-Platform)
- 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.
### [**Music Genre Classification using PCA and Logistic Regression**](https://github.com/kaushikrohida/Music-Genre-Classification--PCA-and-Logistic-Regression-)
- Implemented **Principal Component Analysis (PCA)** and logistic regression models to classify music genres.
- Achieved high accuracy by optimizing feature selection and model performance.
### [**Bank Customer Classification**](https://github.com/kaushikrohida/Bank-Customer-Classification)
- 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.
## Links
- **GitHub:** [Explore my repositories](https://github.com/kaushikrohida?tab=repositories)
- **LinkedIn:** [Connect with me](https://www.linkedin.com/in/kaushikrohida/)
- **Tableau Public:** [View my dashboards](https://public.tableau.com/app/profile/kaushik.rohida6402/vizzes)
## GitHub Stats
## Let's Connect!
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:** [email protected]