About

Surbhi Arora is a highly skilled Cloud Storage Developer at IBM ISL with a passion for Python programming and Machine Learning. With almost 2 years of relevant experience, Surbhi has honed her skills in Data Mining and Machine Learning, specializing in real-time applications such as Information Retrieval, Computer Vision, NLP, and Food Gastronomy. Currently, Surbhi is part of IBM's Cloud Storage IaaS Development Team, where she is responsible for building ML-based solutions to resolve various issues. She is proficient in Python, Java, SQL, Data Warehousing, Visual Studio-SSIS, Neo4j, and Analytical Skills (Pandas, Numpy, Seaborn, spacy, Stanford corenlp, ML models, etc.). Surbhi holds a Master's degree in Data Engineering from IIIT Delhi, where she gained in-depth knowledge of various data engineering concepts and technologies. She has also worked on projects related to Data Warehousing, Big Data Analytics, and Data Mining during her academic career. Surbhi's tech stack includes ML, Python, SQL, Information Retrieval, Computer Vision, Neo4j, Seaborn, NLP, Pandas, AWS, Web, Javascript, MongoDB, Postgres, and Software Engineering. She is a quick learner and always keeps herself updated with the latest technologies and trends in the industry. Surbhi's passion for Machine Learning and Python programming, coupled with her analytical skills and experience, make her a valuable asset to any organization. She is always eager to take on new challenges and is committed to delivering high-quality solutions that meet the needs of her clients.