About

Naman Meena is a highly skilled Solutions Architect with a focus on Data Science and MLOps. With over 4 years of experience in solving analytical problems and building machine learning models, Naman has developed strong expertise in the retail and financial domains. He possesses extensive knowledge of Machine Learning and Deep Learning and has hands-on experience with frameworks such as TensorFlow, Pytorch, Keras, MLFlow, Scikit Learn, HuggingFace, and FastAI. Naman has productionized machine learning use cases in Big Data frameworks such as Apache Spark, Hadoop, Map Reduce, and Hive in programming languages such as Java, Scala, and Python. He has a strong understanding of developing scalable and robust ML architectures and has worked on various fronts such as defect classification, scratch classifier, and NLP-based keyword extractor. Currently working as a Technical Lead (Data Science) at gspann technologies, inc, Naman has previously worked as a Software Engineer - AI and Data Management at the same company. He has also worked as a Senior Engineer at exadatum software services, where he worked on Research and Development of a Unified Analytics Platform for Data Scientists, Analysts, and Engineers. Naman has also developed an end-to-end Data Science framework for personalized product recommendation for Kohls. Naman has a Bachelor of Engineering (B.E.) in Computer Science from Rajiv Gandhi Prodyogiki Vishwavidyalaya. He possesses a wide range of technical skills, including Data Scientist, Senior Software Engineer, ML, AI, Databricks, Big Data, Deep Learning, Spark, Tensorflow, Azure, GCP, Pytorch, Keras, Scikit, Hadoop, NLP, Python, Scala, Java, DevOps, Apache Hive, Research Scientist, XGBoost, Random Forest, CNN, RNN, Neural Networks, and infra. With 6.20 years of relevant experience, Naman is a highly skilled Solutions Architect with a strong background in Data Science and MLOps. He has a proven track record of developing and productionizing machine learning use cases and has worked with a wide range of frameworks and programming languages. Naman is a valuable asset to any organization looking to develop scalable and robust ML architectures.