Skilled Data Scientist and Engineer,Spatial, I'm dedicated to building Data Products that tackle real-world
issues in various industries. My expertise lies in designing robust data pipeline architectures and automating ETL
processes to help organizations make sense of disparate data and resolve complex challenges.
I am proficient in various programming languages and tools such as Python, Apache Airflow, Spark, Kafka, SQL, Java, Excel, ETL (Talend), PowerBI, Tensorflow, Natural Language Processing, Git, and Version Control. Extensive experience in Google Earth Engine, Remote sensing and Water Quality monitoring. Additionally, I have experience working with Flask, Streamlit, Heroku, AWS Beanstalk, EC2, EMR, RDS, Redshift, relational SQL, and NoSQL databases, including PostgreSQL, SQL Server, OLTP, and OLAP data processing systems.
Whether you are navigating the complexities of data management, seeking insightful analytics, or implementing robust data-driven strategies, I'm here to help you achieve your goals.
Empower your business with cutting-edge Business Intelligence (BI) and Artificial Intelligence (AI) solutions.Through advanced analytics and machine learning, I guide you in unlocking the full potential of your data to gain a competitive edge.
Optimize your data infrastructure with Data Engineering.
Navigate the complexities of geospatial and climate smart solutions. Provide tailored strategies to leverage spatial data, enabling informed decision-making in diverse fields.
Whether migrating to the cloud or optimizing existing cloud infrastructure, I ensure seamless integration and enhanced operational efficiency.
Empower your team with Google Earth Engine (GEE) training.From remote sensing to environmental monitoring, the training equips professionals with the skills needed for impactful analysis and decision-making.
I write blogs
