Santosh Kumar Singh

Santosh Kumar Singh has been working in the field of analytics and software engineering since 1996. Santosh Kumar's career began as a Senior Telecommunications Engineer at Koshika Telecom Ltd. Santosh Kumar then moved to BPL Mobile Ltd, where they held the same role. In 2000, they joined Wipro as a Senior Software Engineer. In 2002, they became a Test Lead at Winphoria Networks. In 2003, they joined Motorola Mobility as a Senior Test Lead, where they independently handled the validation of HLR and completed the validation of Media Gateway product with a small team. In 2009, they joined Intel Corporation as a Validation Component Owner, where they completed the validation of a product on time and took charge of the validation of one component which was in complete disarray. In 2014, they joined Y Optima as a Senior Member of Technical Staff (Analytics). Currently, they are a Lead Data Scientist at EquBot.

Santosh Kumar Singh has a diverse educational background. Santosh Kumar obtained a Bachelor of Engineering (BE) in Electronics and Telecommunications from Government Engineering College Jabalpur (M.P) between 1991 and 1995. Santosh Kumar also completed an Executive Program in Business Management (EPBM) from the Indian Institute of Management, Calcutta in 2011. In addition, Santosh has obtained numerous certifications from Coursera, including Analyze Datasets and Train ML Models using AutoML (2021), Natural Language Processing with Classification and Vector Spaces (2020), Machine Learning: Clustering & Retrieval (2020), Machine Learning Specialization (2020), Blockchain Basics (2020), Machine Learning: Regression (2020), Convolutional Neural Networks in TensorFlow (2020), DeepLearning.AI TensorFlow Developer Specialization (2020), Sequences, Time Series and Prediction (2020), Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (2020), Natural Language Processing in TensorFlow (2019), Deep Learning Specialization (2019), Machine Learning Foundations: A Case Study Approach (2019), and Machine Learning: Classification (date unknown).