About

Dipankar Ghosh is a result-oriented individual with a passion for computer science. Currently working as a Machine Learning Engineer at Google, Dipankar has 3 years of experience in Machine Learning and 3 years in web technologies and databases. He is proficient in programming and building end-to-end Machine Learning and Cloud Computing pipelines using Python, C++, and Java. Prior to joining Google, Dipankar worked as a Data Science Engineer at Ancestry, where he built statistical models and deep learning model architectures. He developed a CNN+LSTM architecture using CTC loss for name field Handwriting Recognition and a CNN model for multi-digit Handwriting Recognition using Goodfellow loss that achieved 96% word accuracy. He also implemented Face Recognition from Yearbooks collection for Mobile team using MTCNN for face extraction, Siamese network, and K-nearest neighbors for embedding comparison. Dipankar built the end-to-end ML platform for deploying all business models into production, with detailed metrics logging and custom Slack notifications in case of warnings and errors. He also built the Life Time Revenue model using Survival Analysis, programmed in Python, to forecast the total dollars that will be generated as revenue in the next N years from each active customer. Before Ancestry, Dipankar worked as a Full Stack Developer at Brandmovers, where he planned and developed online sweepstakes and campaigns using PHP and MySQL on the Laravel framework as backend languages, and HTML, Javascript, jQuery, AngularJS, CSS, SASS as frontend languages. He provided extensive insights on site availability, views, shares, and other reports using Google Analytics. Dipankar also extensively used Facebook, Twitter, and Instagram APIs to increase users' participation. Dipankar holds a Master of Science in Computer Science from the University of Illinois and a Bachelor of Technology in Electronics & Instrumentation Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar. He also holds a Science degree from Sri Aurobindo Institute of Education, Kolkata. Dipankar's tech stack includes ML, Software Engineer, CNN, Python, Web, Data Scientist, Deep Learning, Mobile, Java, AWS, C, Javascript, PHP, MySQL, Frontend, and Backend. With 5.70 years of relevant experience, Dipankar is a skilled and accomplished professional in the field of computer science.