About

Abhik Sarkar is a highly skilled and experienced machine learning professional with a strong background in computer science and a passion for data analysis, machine learning, and data visualization. He has taken several courses from various sources, including Udacity, Udemy, DataCamp, Coursera, and Stanford.edu, to enhance his knowledge and skills in the field of data science. Abhik is a competent machine learning practitioner with expertise in linear regression, logistic regression, Naive Bayes, SVM, decision trees, random forest, boosting, bagging, ANN, CNN, and Word2Vec. He is also proficient in statistics, including descriptive and inferential, and has a good understanding of technologies such as Python, Java, Docker, and R. Abhik is well-versed in handling various data formats, including JSON, XML, CSV, and text. Currently, Abhik works as the Head of Machine Learning at Cloudastructure, where he is responsible for building machine learning products. He has also worked as a Software Engineer and Machine Learning Engineer at Cloudastructure and Athenasowl, respectively. As an early hire at Cloudastructure, he has worn many hats, building the ML team and features using Python, Deepstream, Pytorch, and MLFlow. Abhik has a strong academic background, with a Bachelor of Technology in Computer Science and Engineering from NIT Raipur, a Nanodegree in Data Analyst from Udacity, and a certification in Machine Learning with Graphs from Stanford Center for Professional Development. In addition to his work in machine learning, Abhik is also a Business Quizzer and an active Quizmaster. He is a Kaggler and invites others to team up with him for competitions. Abhik's blogs can be found on Medium, and his DataCamp profile showcases his extensive knowledge and skills. Abhik's tech stack includes ML, Naive Bayes, SVM, Random Forest, CNN, Word2Vec, Docker, Data Scientist, Python, Java, Software Engineer, and Pytorch. With 4.61 years of relevant experience, Abhik is a highly competent machine learning professional with a passion for learning and exploring new technologies.