• Developing and optimizing machine learning and deep learning models to address real-world challenges, focusing on predictive analytics and intelligent automation.• Designing and implementing end-to-end AI pipelines, including data preprocessing, feature engineering, and deploying models in cloud environments using Azure.• Collaborating with cross-functional teams to integrate AI solutions into existing workflows, enhancing operational performance and data-driven decision-making processes.

• Gain hands-on experience using diverse tools and techniques to analyze data from various sources. • Collaborated with the data team to identify sources, develop Python scripts, and optimize processes for efficient and accurate data extraction, contributing to meaningful insights through data analysis.

Introduction to Networks.Linux Essentials.Python Essentials.SQL Essentials.Big Data ( HDFS, Yarn, Map Reduce, Spark, Hbase, Hive, Flink, Loader, Flume, Kafka, Zookeeper ).