Ankur Verma, a seasoned data scientist with over 7 years of experience in machine learning and deep learning, is making waves in the industry with his expertise. Verma's journey began with a Bachelor of Technology degree in IIT BHU. Since then, he has worked with notable organizations such as Walmart Labs, Dunzo, and Samya.ai. He has spearheaded the development and implementation of machine learning solutions for merchant technology, hyperlocal delivery apps, and scalable AutoML frameworks.

Besides his work in the industry, he has also been a mentor for Data Science Career Track on Machine Learning and Deep Learning using Python at Springboard for over three years. In his tenure, he has groomed budding data scientists and prepared them for industry-level challenges. Verma has also participated in over 50 data science competitions across different channels, including Kaggle, Analytics Vidhya, Topcoder, and Crowdanalytix, where his achievements are noteworthy.

Verma's academic and professional background, experience in Python, R, SAS, SQL, Hadoop, Hive, and building models using both TensorFlow and PyTorch make him a sought-after professional in the industry. His recent research papers on Time Series and Elasticity published on arXiv, exhibit his expertise in neural network architecture designing. His skills make him an essential part of any team working to solve real-world problems using machine learning and deep learning.