Machine Learning, MLOps & AI

Certified in Machine Learning by AWS, Databricks, and GCP. Formal education and training in ML and MLOps.

Certified in Data Science by Azure and holding a Masters degrees in Data Science and Data Engineering.

Certified in Big Data with Databricks, Snowflake, AWS and Azure. Trained in Map Reduce, Spark and Hadoop.

Utilizing supervised and unsupervised learning to build models that can analyze patterns, make decisions, and predict future outcomes in diverse applications.

Developing and implementing AI strategies that align with organizational objectives, ensuring ethical use and maximizing the impact across operations.

Employing reinforcement learning algorithms to create models that learn optimal actions in various contexts, enhancing autonomous decision-making and adaptability.

Enabling machines to interpret visual data and make decisions based it, with numerous applications in image recognition, and object detection.

Developing intelligent robotics and automation systems that enhance operational efficiency, ensuring precise, and consistent performance in industrial applications.

Designing and deploying different types of neural networks to decipher complex patterns, optimize predictions, and facilitate advancements in various AI applications.