About

Amar Nath is an experienced Data Engineer with over 8 years of experience in the computer software industry. He is currently working as a Big Data Engineer at Coinbase, where he has developed a Data Classification Tool for PII detection, which is used for managing data access. Amar is skilled in Data Engineering and Machine Learning, ElasticSearch, Amazon Web Services (AWS), Algorithms, and Python (Programming Language). He is a strong engineering professional with a BTech - Bachelor of Technology focused in Electrical Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi. In his previous role as a Big Data Engineer at ooba labs, Amar developed a Data Quality Tool (DQT) for data quality testing using various rule-based techniques as well as advanced machine learning models. He also developed the Data Monitoring Tool (DMT) for data quality monitoring, which helped customers gain greater insight into their data. Additionally, he worked on creating multiple data pipelines for one of the leading US banks, which helped them automate manual report generation. He also worked on different machine learning projects to detect anomalies in financial data. Amar also has experience as a Co-Founder and Crypto Trader at a crypto trading startup, where he developed data pipelines for fetching data from cryptocurrency exchanges. He also developed tools for generating buy/sell signals and automatically placing orders on cryptocurrency exchanges. He was actively involved in cryptocurrency trading and helped the company grow 10x. Amar's tech stack includes Data Engineering, AWS, Big Data, Python, ML, Elastic Search, Snowflake, Web3, Spark, Apache Airflow, Keras, Backend, Flask, Web, test, SQL, Word2Vec, MongoDB, Hadoop, SVM, Random Forest, Object detection, Seaborn, Object Detection, Deep Learning, Scikit, Redis, Docker, Research Scientist, Tensorflow, Pandas, MySQL, NoSQL, and Kafka. Overall, Amar Nath is a highly skilled and experienced Data Engineer with a strong background in machine learning and a wide range of technical expertise.