About

Khilesh C. is a highly skilled professional with over 7 years of experience in Deep Learning, Machine Learning, Cloud, DevOps, Big Data, Business Intelligence, Visualization, and Analytics. He is passionate about his work and always eager to connect with other developers. Khilesh's favorite stage of a project is working with the client or business unit leaders to understand their business objectives. He is responsible for leading technology initiatives, building strong tech and data teams while using the power of tech, data, and analytics to help businesses achieve their objectives. Khilesh has worked on business functions such as Television Media, Credit Risk, and Compliance. He actively connects with industry consortia, academia/research groups, participates in various hackathons, tech events, and continues learning through MOOCs, distance learning programs, and holds various certifications in Cloud, Data Science, Artificial Intelligence, and Machine Learning. Currently, Khilesh is a Consultant Specialist at HSBC, where he is responsible for Global Tax IT. He has also worked as a Senior Software Engineer and Software Engineer at HSBC, where he worked on Credit Risk. Khilesh has a Post Graduate Diploma in Applied Statistics from Indira Gandhi National Open University, a PG Diploma in Advanced Computing from Sunbeam Institute of Information Technology, Pune-Karad, and an Engineer's Degree in Information Technology from Chhattisgarh Swami Vivekanand Technical University, Bhilai. Khilesh is proficient in AWS, ML, AI, GCP, Azure, Big Data, Software Engineering, Spark, Deep Learning, Apache Airflow, Data Science, Research Science, SQL, DevOps, Hadoop, ETL, Data Warehouse, MongoDB, Kafka, Data Engineering, Python, Scala, Kubernetes, Apache Hive, Sentiment Analysis, SVM, XGBoost, Random Forest, CI/CD, test, Docker, Cassandra, Spring, Jenkins, Microservices, Flask, Mobile, and Senior Software Engineering. With relevant experience of 8.19 years, Khilesh is an adept professional who leverages technology, data, statistics, cloud, AI, ML, and IoT to help businesses with insights.