About

Laveena Kewlani is a highly skilled Data Architect with over 7.5 years of experience in data science analytics. She holds an MSc. degree from the Technical University of Munich, Germany, specializing in Machine Learning, Computer Vision, and Advanced Mathematics. Through her education and overall work experience from India and Germany, Laveena has gained an insight into recent research topics in technology like machine learning, computer vision, object detection, and tracking, scientific computing, etc. Laveena has significant hands-on experience working as a Data Engineer, Scientist, and Architect for solving data-related tasks for analytics, machine learning and deep learning problems, along with tackling tasks related to computer vision. She is currently working as a Member of Technical Staff-2 Data Architect at PayPal. Prior to this, she has worked as a Senior Data Engineer at Yara International and NeoGrowth Credit. Laveena's education history includes a Master's of Science degree from the Technical University of Munich, Germany, a Bachelor's of Technology degree from VIT, India, and a PhD-Executive degree from the Centre for Artificial Intelligence, IIT Kharagpur, India. Laveena's tech stack includes Senior Software Engineer, Software Engineer, Data Engineering, Computer Vision, AWS, SQL, ML, Python, Research Scientist, Object detection, Hadoop, Spark, Object Detection, Data Scientist, ETL, Deep Learning, Random Forest, Apache Hive, AI, Integration, Big Data, Pandas, MSSQL, Recommendation system, Backend, Keras, Seaborn, Apache Airflow, Scikit, Tensorflow, Neural Networks, MySQL, Kafka, Jenkins, DevOps, and Web. With 2.44 years of relevant experience, Laveena is currently seeking an opportunity to extend her tech stack for real-time data streaming and analytics. She is a highly motivated individual with excellent problem-solving skills and a passion for data science.