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Arjun Tyagi
Engineering @ Uber |ex-MLE @ Jupiter Money | ex-Here Technologies
About
Arjun Tyagi is a skilled Machine Learning Engineer currently working at Jupiter Money. He has a degree in Mathematics and Electrical-Electronics Engineering from BITS Pilani. Arjun has a diverse range of experience, from designing and animation to web development and data science. He is particularly interested in using Python for machine learning, AI, and predictive analysis with a focus on NLP and deep learning. Arjun is proficient in several languages and frameworks, including Python (pandas, numpy, scikit-learn, scrapy, flask, etc.), Elasticsearch, SQL, Spark, MongoDB, Keras/Tensorflow for deep learning, Linux, and cloud services such as AWS and Azure. He has also worked with Java, Javascript, Kafka, and Big Data technologies. Arjun has worked as a UI/UX Designer Intern at AdPushup, where he improved the customer experience on their portal by designing and developing user engagement videos for their platform and helped in making their explainer video. He has also worked as a Teaching Assistant for the New Venture Creation course at BITS Pilani, helping budding entrepreneurs overcome challenges in starting up, and as a Summer Intern at Benline Agencies, where he studied various departments involved in the shipping industry. Arjun's education history includes an Engineer's Degree and a Bachelor's Degree in Mathematics from BITS Pilani, as well as attending DLF Public School. He has 4.20 years of relevant experience and is skilled in ML, Software Engineering, Python, Deep Learning, Spark, AWS, AI, SQL, Web, Keras, Data Science, Scikit, NLP, Tensorflow, Pandas, MongoDB, Elastic Search, Flask, Azure, Kafka, Neural Networks, and ETL.
Education Overview
• bits pilani birla institute of technology and science
• dlf public school
Companies Overview
• uber
• jupiter
• here
• axis bank
• geeksforgeeks
• startup weekend
• department of visual media bits pilani
• stucca
• benline agencies pvt ltd
• cel bits pilani
Experience Overview
5.6 Years
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