Transform data from social media platforms into actionable business insights
Dipanjan (DJ) Sarkar is a Data Scientist at Intel, leveraging data science,
machine learning, and deep learning to build large-scale intelligent systems. He holds a master
of technology degree with specializations in Data Science and Software Engineering. He has been
an analytics practitioner for several years now, specializing in machine learning, NLP,
statistical methods, and deep learning. He is passionate about education and also acts as a Data
Science Mentor at various organizations like Springboard, helping people learn data science. He
is also a key contributor and editor for Towards Data Science, a leading online journal on AI
and Data Science. He has also authored several books on R, Python, machine learning, NLP, and
deep learning.Ganapathy Karthik :
Contacted for ReviewingBali Raghav :
Raghav Bali is a Staff Data Scientist at Delivery Hero, a leading food delivery
service headquartered in Berlin, Germany. With 12+ years of expertise, he specializes in
research and development of enterprise-level solutions leveraging Machine Learning, Deep
Learning, Natural Language Processing, and Recommendation Engines for practical business
applications. Besides his professional endeavors, Raghav is an esteemed mentor and an
accomplished public speaker. He has contributed to multiple peer-reviewed papers and authored
multiple well received books. Additionally, he holds co-inventor credits on multiple patents in
healthcare, machine learning, deep learning, and natural language processing.Sharma Tushar :
Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.