About

Aman is an experienced Lead Data Scientist at Akamai Technologies, with a focus on developing viable solutions for high-complexity business and technical problems using statistics and machine learning. He is a forward-thinking individual with a performance-driven mentality, possessing an aptitude for problem-solving in challenging settings. Aman is a focused multitasker who aims to achieve organizational excellence, build critical competencies in business strategy, and effectively prototype new ideas to drive high business growth. Aman's past experiences include working as a Data Science Intern at Covacsis, where he gained expertise in time series analysis and forecasting, machine learning, predictive analytics, IoT, R programming, data analysis, and statistics. He also worked as a Materials Handling and Quality Engineering Intern at Multisorb Technologies, where he gained experience in manufacturing process design, linear regression, statistical quality control, customer compliance, and trade compliance in global supply management. Aman holds a Master's Degree in Operations Research from the University at Buffalo, where he completed his studies in 2015. He also holds a Bachelor of Technology (B.Tech.) in Civil Engineering from the University of Mumbai, where he completed his studies in 2013. Aman completed his Secondary School Certificate Examination in Higher Secondary School Certificate Examination from Fr. Agnels in 1999. Aman's technical expertise includes Data Science, Research Science, Python, Machine Learning, SQL, Deep Learning, Selenium, Javascript, Kafka, Amazon Athena, Big Data, Docker, Keras, RNN, Scikit, Sentiment Analysis, Jupyter, Recommendation System, Web, Computer Vision, AI, CNN, Redis, Neural Networks, Elastic Search, Pytorch, Mobile, and Apache Hive. He has relevant experience of 7.79 years.