40 Under 40 Data Scientists Award Nomination Form
You may submit a maximum of two nominations for the awards. Each nomination must be submitted on a separate form. Incomplete forms may be considered ineligible for assessment.
Nominees must be currently serving as a data scientist for a firm. Along with significant career accomplishments, the data scientist inducted into the awards must demonstrate the kind of substantial business impact, technology vision and inspirational leadership that advances their role and creates a positive influence on the data science profession.
Analytics India Magazine reserves all the right to accept or reject any nomination.

The Awards would be given out at Machine Learning Developers Summit 2020 (by Analytics India Magazine)
Nominee details (*Required)
Nominee Name *
Your answer
Nominee’s phone number *
Your answer
Nominee’s email address *
Your answer
Name of organisation the nominee is currently serving in *
Your answer
Nominee’s Designation at the current organization *
Your answer
Nominee's Date of Birth & Year *
Your answer
Award criteria
When making your nomination, please provide short statements describing how the nominee meets the following award criteria. Where possible, provide examples to support the statements.
1. A brief bio of Nominee (200 words) *
Your answer
2. Demonstrated achievements of the nominee and the work for which he/she is being nominated.
Your answer
3. Provide an brief on your education qualification
Your answer
4. Demonstrate evidence on research, patents and any original work done.
Your answer
Disclaimer
Information provided in this questionnaire by the individual will be an affirmation to participate in the awards. The individual accepts full responsibility for the information provided and that it is in its true form. Analytics India Magazine reserves the right, at its absolute discretion, to make decisions with respect to the final results of the study, after detailed research and analysis. The decision taken by AIM will be final. AIM will not be answerable to the individual about the methodology followed and the results deduced by it.
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