About

Aaqib Waleed Bhat is a highly skilled Data Scientist with expertise in unsupervised machine learning, deep learning, and natural language processing. He has worked in various domains, including Cyber Security (Anomaly Detection, Log Analytics), Airlines, Retail, CPG (CVM, Category Management, Product Recommendation), CPG (Tweet Sentiment Analysis), Supply Chain, and BFSI (Intelligent Process Automation). Currently working as a Data Scientist at L&T, Aaqib has previously worked as an Associate Data Scientist at ITC. He holds a Post Graduate Program in Business Analytics from Praxis Business School, where he studied Data Science, Machine Learning, and Deep Learning. He also has a Master of Computer Applications degree from Central University of Haryana, Mahendergarh, and a Bachelor of Computer Applications degree from the University of Kashmir. Aaqib has a strong technical background and is proficient in various tools and technologies, including Python, AWS, Jupyter, Tensorflow, Flask, SQL, Pytorch, Random Forest, Keras, Azure, Seaborn, HDFS, Scikit, Pandas, NoSQL, Elastic Search, Kafka, and Backend. He has relevant work experience of 4.78 years and has worked as a Data Scientist and Research Scientist. Aaqib's expertise lies in building and deploying machine learning models, data engineering, and solving complex business problems using advanced analytics. He has a keen interest in exploring new technologies and is always on the lookout for new challenges to enhance his skills. With his strong analytical skills and a passion for data science, Aaqib is a valuable asset to any organization.