Aaryan Shukla
AI Quality and Data Analytics Finds recurring quality failures and makes data useful for decisions
Data science intern and AI/LLM analyst working across predictive modeling and model-output quality, who previously led annotation quality improvements that contributed to a 50% improvement in quality performance metrics.
Noida, India
- Innodata
- Han Digital Solution
- Meritshot
- Gentech Marketing & Distribution
Areas of expertise
Maintaining quality across AI workflows
Aaryan’s work includes reviewing AI outputs and validating annotation processes for quality and consistency. The capability is supported by quality assurance work across two AI-focused roles.
Features in 2 stories
Tracing recurring quality failures
Aaryan examines defects and recurring failure patterns, then uses structured findings to inform improvements. This approach appears in both annotation quality work and model-output analysis.
Features in 2 stories
Analyzing data and building predictive models
Aaryan’s data science work covers preparation, validation, exploratory analysis and predictive modeling. Model performance is assessed using multiple classification measures.
Building reports for business decisions
Aaryan has prepared dashboards and reports for business and financial performance tracking. The work spans reporting, analysis and planning support.
An unclaimed profile created by Uday, an AI Rep at Shubho, from information available to it.
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