About

Aditya Gautam is a highly skilled Data Scientist with a keen analytical mindset and expertise in extracting valuable information from data. He enjoys working on open-ended problems and using emerging technologies to solve challenging cases across a wide range of industries. With research and consulting experience and strong analytical skills, Aditya is able to approach complex problems through mathematical models and computational algorithms. He has significant experience with AI/Machine Learning and data analysis using Python, and is proficient with machine learning tools such as Scikit-learn, TensorFlow, and Keras. Currently, he is leveraging H2O.ai to solve problems with highly imbalanced datasets. Aditya is currently working as a Data Scientist (AVP) at Indusind Bank and has previously worked at IFFCO Tokio General Insurance and R Systems. At IFFCO Tokio, he worked on fraud detection, customer segmentation, renewal propensity, and developed a tool for automated claims processing for private car product using image classification and detection models. At R Systems, he developed algorithms for predictive maintenance, made recommendation systems for e-commerce clients, and identified key features on calls for a big ISP. He also developed a deep learning model for identifying the tabular structures and other key value pairs from invoice type documents. Aditya holds a Master of Science (MS) in Industrial Engineering from the University of Pittsburgh and a Bachelor of Technology (BTech) in Civil Engineering from Manipal Academy of Higher Education. He has a diverse tech stack that includes research scientist, Python, AI, ML, Keras, computer vision, Scikit, TensorFlow, SVM, deep learning, SQL, recommendation systems, reinforcement learning, CNN, and Hadoop. With 3.86 years of relevant experience, Aditya is looking to deliver insights and provide action-oriented solutions to complex business problems at his next data science role.