AI & Analytics Rising Star

Spotting the outstanding & extraordinary talent in AI & Analytics

Nominees in this category are working professionals in the band of (1-6 years) of related work experience. This award will be in individual contributor mode and will recognize budding and emerging AI & Analytics professionals. The main criteria will be their work contribution that has augmented the project engagement, business function, team, client impact in a significant way.

To illustrate , the nominee may have applied a novel approach in the existing or previous AI & analytics engagements that led to client impact, successfully led a team through a challenging & complex project, or discovered a new process to deploy AI & Analytics solution, platform or GTM offering.

Top 10 nominations will be declared as winners in this category

Important Dates

14June2021

Nominations opening

20July2021

Last date for Nomination submission

21 July - 27 July2021

Jury evaluation of Nominations

31July2021

Announcement of Winners

Jury Norms & Criteria

Applicants will be judged and calibrated on the following set of criteria and will get an individual criteria specific score with an aggregated final score

Business Problem Identification & Engagement (What was done and Why it was done?)

Demonstrate deep understanding of pertinent business problem and the ability to map potential business value & client impact.

Visualization

Demonstrate varied usage of top of line data visualization aspects for the purpose of deriving business insights

Note: candidates may provide up to 4 examples of their visualizations to demonstrate this skill.

Innovation Quotient

Demonstrate the innovation quotient executed in the engagement /project by way of potential business value, tools & techniques, problem solving methodology, stakeholder management or allied tangible factors.

Application of Tools, & Techniques (How it was done?)

Demonstrate nuanced application of data aggregation, wrangling, engineering skills with contextualized tools, and techniques to solve the business problem

Demonstrate adept application of quantitative model making, machine learning skills, tools and techniques to deliver insights and recommendations

Describe how you worked internally with internal business stakeholders and overcame situational barriers to solve the problem.

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