Pooja V

AI Engineer

https://www.opentalent.in/pooja-v-1

Bangalore Urban, Karnataka, IndiaMember since March 10, 2026

Key Strengths

Strong proficiency in Business Intelligence tools and platforms, including Power BI, SSRS, and Microsoft Fabric.
Extensive experience in data modeling, ETL processes (Alteryx, Microsoft Fabric), and data warehousing.
Proven ability to automate reporting workflows and improve operational efficiency, demonstrated by 90% ETL migration efficiency and 99% report delivery timeliness.
Solid understanding of SQL, data analysis, and visualization techniques.
Experience with CI/CD pipelines for reporting solutions using Azure DevOps.
Deep domain knowledge in the BFSI sector.
Role Match (AI Engineer): The candidate's current skill set and experience are primarily focused on traditional Business Intelligence and data reporting, with no direct experience or explicit skills in AI, Machine Learning, Deep Learning, or MLOps. There is a significant gap between the candidate's profile and the requirements for an AI Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a score of 0 on the psychometric test. This score indicates either non-completion or a complete failure, making any conclusion on cultural fit unreliable.

Soft Skills & Operational Fit

The candidate lists 'Excellent work management, flexibility with all shifts, creative problem-solving, and dedication to quality' and 'Actively pursuing opportunities for continuous learning and skill enhancement'. These indicate a positive attitude and willingness to grow. However, the psychometric test score of 0 makes it impossible to objectively validate these claims or assess operational fit.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong proficiency in Business Intelligence tools and platforms, including Power BI, SSRS, and Microsoft Fabric.
Extensive experience in data modeling, ETL processes (Alteryx, Microsoft Fabric), and data warehousing.
Proven ability to automate reporting workflows and improve operational efficiency, demonstrated by 90% ETL migration efficiency and 99% report delivery timeliness.
Solid understanding of SQL, data analysis, and visualization techniques.
Experience with CI/CD pipelines for reporting solutions using Azure DevOps.
Deep domain knowledge in the BFSI sector.
Role Match (AI Engineer): The candidate's current skill set and experience are primarily focused on traditional Business Intelligence and data reporting, with no direct experience or explicit skills in AI, Machine Learning, Deep Learning, or MLOps. There is a significant gap between the candidate's profile and the requirements for an AI Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Pooja V

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit