The International Society of Data Scientists is pleased to announce the selected individual for the title "The Most Influential Young Data Scientist of the Year 2020", Abhishek Kumar Annamraju, from India. Abhishek is a Computer Vision and Deep Learning researcher, with interests in the fields of computational neuroscience and neuroplasticity. He was introduced to these areas during his engineering at Bits Pilani University. Since then he has worked on multiple subdomains of data science discipline, published researches in journals such as IET, AIVP, etc, and contributed to opensource community.
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The Competition Committee finished grading for the competition submissions of the Second International Competition in Data Science & AI. Twenty three universities worldwide registered their teams in the competition. We are pleased to announce the final result.
We are pleased to cordially invite junior Data Scientists to attend the Second International Data Science Competition (a.k.a the Annual Olympia Datathon), from August 15 to Dec 1, 2020, organized by The International Society of Data Scientists and Scriptedin Corporation. The competition is to create a playground for young Data Scientists to grow skills, knowledge, experience, and collaboration for their career path.
The International Society of Data Scientists is pleased to announce the selected individual for the title "The Most Influential Young Data Scientist of the Year 2019", Akshay Bahadur, from Symantec in India. Success only follows ones who make a true approach to get it. We wish Akshay all the best for his future and congratulate him for this achievement.
The International Society of Data Scientists is calling for project submissions from young Data Scientists. Participants may be in the range from grades 7-12, undergraduate and graduate students. Submissions are reports for projects that have been pursued in courses, training, and camps. Projects may be team-based or individual-based. Participants should be able to provide evidence that the projects were supervised, or graded by their instructors.