• Engineer well versed in Python and in various Machine learning algorithms.• Background in physics, statistics, probability, and experienced in the development of self-serve dashboards.• Well versed in creating SQL and in creating NoSQL queries for managing data in large RDBMS or for MongoDB.• Deep knowledge in business intelligence visualization tools like PowerBI and Tableau.• Background in physics, statistics, probability and experienced in Data modeling and analysis• Adept in the creation and fine-tuning of Neural Networks with a special interest in• Computer vision using Tensorflow and Keras based Neural Networks• Image Generation using Generative Adversarial Networks (GANs)• Analyze all dataset metrics, trends, and forecasts within the set to identify root causes for issues and variances.• Data pipeline automation using Apache Airflow.• Deployment, scaling, and management of containerized applications using Docker.• Creating ML pipelines and DAG's with Workflow management platforms like ApacheAirflow.• Big Data ETL using Apache Spark.• Open-source stream-processing software like Apache Kafka.• Natural Language Processing using Pytorch and Word2Vec.• NEAT(NeuroEvolution of AugmentingTopologies)• Specialized in CANDU reactor operations and preparing reports for CANDU fuel channel fitness and inspection.• Extensive background in computational fluid dynamics, two-phase flow, and heat transfer, engineering material properties, stress analyses, fracture mechanics, health physics, nuclear risk assessment, renewable energy engineering (Solar, wind and Hydroelectric and Geothermal) and nuclear physics. • Experienced in working at potentially hazardous environments such as spaces involving large machinery and high radiation.• Extremely adept in CANDU power plant analysis, deep understanding of various power plant systems such as the reactor and moderator, reactor regulation, steam turbine, and feed-water and heat transport systems.