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Aman Singh Verma

Senior Data Scientist at i2o Retail

Aman Singh Verma has a diverse work experience in the field of data science and AI. Aman Singh is currently working as a Senior Data Scientist at i2o Retail. Prior to this, they worked at wayForward (PsyInnovations India) as an AI/ML Engineer, where they focused on leveraging AI to improve the efficiency and user experience of the app. At wayForward, their responsibilities included creating and deploying NLP and machine learning solutions for decision-making in the chat service of the app, as well as writing API scripts for deploying models.

Before joining wayForward, Aman was an Intern at Mu Sigma Inc., where they solved a retail sales forecasting problem using statistics, data mining, and machine learning techniques. Aman Singh also developed an online evaluation tool using Django for conducting training exams for new employees.

Additionally, Aman has experience as a Teaching Assistant at the Indian Institute of Information Technology, Sri City, Chittoor, India. Aman Singh held this position in both 2017 and 2018.

Aman Singh Verma completed their Bachelor of Technology (BTech) degree in Computer Science and Engineering (CSE) from the Indian Institute of Information Technology, SriCity. Aman Singh attended the institute from 2015 to 2019. In addition to their formal education, Aman has obtained various certifications related to data science and machine learning. Aman Singh completed courses such as "Data Science Methodology," "Open Source tools for Data Science," "Python for Data Science," and "What is Data Science?" through Coursera in July 2019. Aman Singh also completed courses such as "Applied Deep Learning: Build a Chatbot - Theory, Application" and "NLP - Natural Language Processing with Python" through Udemy in June 2019 and May 2019, respectively. Aman obtained certifications in "Convolutional Neural Networks" in April 2019, "Structuring Machine Learning Projects" in March 2019, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in December 2018, and "Neural Networks and Deep Learning" in December 2018, all through Coursera.

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