Data-driven professional with experience in data analytics, data science, and data engineering, skilled in SQL, Python, cloud computing (AWS/Azure), and artificial intelligence/machine learning. Strong background in data processing, predictive modeling, and building scalable data pipelines. Currently pursuing a remote Master’s in Computer Science, with a focus on AI and ML. Passionate about leveraging data-driven insights to drive innovation, optimize systems, and solve complex problems across industries.
- Programming, Scripting, & Tools: Python, SQL, Linux/Bash, Git, Docker, VSCode
- Data Engineering & Big Data Tools: dbt, Airflow, Kafka, Spark, Cassandra, Zookeeper, Databricks
- Cloud Platforms & Databases: AWS, Azure, GCP, Snowflake, MongoDB, Elasticsearch
- Analytics & Visualization: Tableau, Power BI, Looker Studio, QuickSight
- Portfolio Website: datascienceportfol.io/ndomah
- LinkedIn: linkedin.com/in/nileshdomah
- Medium: medium.com/@n.domah.01