I'm a data enthusiast with a passion for uncovering insights from data. Currently pursuing a Master's in Applied Computer Science at Dalhousie University (Halifax, Canada), I love exploring the ever-evolving world of Data Analytics.
By leveraging my expertise in programming languages like Python, SQL, and Cloud platforms, I help organizations make data-driven decisions. I'm proficient in building and deploying end-to-end data pipelines for efficient data processing.
In my free time, I actively participate in Kaggle competitions and hackathons to challenge myself and stay updated with the latest trends. I'm also a big believer in sharing knowledge, and you'll find helpful resources and tutorials on my YouTube channel, CoderzDen, and my Medium blog.
- Proficiency in Python (including libraries like pandas, NumPy, scikit-learn, PySpark, TensorFlow)
- Java
- SQL (including dialects like PL/SQL)
- C#
- R
- SQL Server
- MySQL
- PostgreSQL
- Oracle
- MongoDB
- Azure (Synapse, Data Lake, Data Factory)
- AWS (S3, EC2, Redshift)
- Snowflake
- Google Cloud Platform
- Databricks
- DigitalOcean
- Heroku
- SSRS
- Apache Airflow
- Kafka
- Kubernetes
- Streamlit
- FastAPI
- Beautiful Soup
- .NET frameworks (Spring Boot)