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GAURAV TYAGI
Data Scientist at Navi | ex- Amazon | BITS Pilani
About
Gaurav Tyagi is a highly skilled Data Scientist with over 8 years of experience in the banking, e-commerce, and social media industries. He has a proven track record of building scalable machine learning solutions for recommendation engines, fraud detection, and marketing analytics projects. Gaurav is currently working as a Data Scientist at Navi, where he continues to hone his skills in NLP, deep learning, modeling, and deployment. Gaurav's expertise in data science has been honed over the years, having worked with top companies such as Amazon and Citi. He has also worked as a Data Scientist at Trell, where he built machine learning models to improve user engagement and experience. Gaurav's passion for data science is evident in his work, and he has been recognized for his efforts in developing innovative solutions to complex problems. Gaurav's educational background is in Mechanical Engineering, having graduated from the prestigious Birla Institute of Technology and Science, Pilani in 2013. He has since then focused on building his expertise in data science, and has become proficient in several programming languages, including Python, SQL, and Keras. He has also worked with various tools such as Sagemaker, Databricks, Spark, and Scikit. Gaurav's technical proficiency extends beyond programming languages and tools. He has experience in several areas of data science, including NLP, ML, deep learning, neural networks, text classification, and language models. He has also worked with Big Data technologies such as Redis, MongoDB, and Apache Hive. Gaurav's experience in data science spans over 9.53 years, and he continues to be passionate about developing innovative solutions to complex problems. He is a team player, and his ability to collaborate with others has made him an asset to the organizations he has worked with.
Education Overview
• bits pilani birla institute of technology and science
Companies Overview
• navi
• trell
• amazon
• citi
• mu sigma
Experience Overview
10.9 Years
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