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AI Engineer with 1+ years in Data Engineering & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent Information Technology graduate specializing in Data Engineering, AI, and Data Analytics. Skilled in Python, SQL, ETL pipelines, and Power BI, with hands-on experience building AI applications, automated data workflows, and data analysis solutions. Microsoft Certified Power BI Data Analyst (PL-300) with a strong interest in transforming data into actionable insights and building intelligent systems.
Belgium Campus iTversity
Bachelor of Information Technology · Information Technology
August 1, 2022 – June 30, 2025
Yadah Private Academy
IT Support & Systems Administrator (Part-Time)
January 1, 2024 – January 1, 2025
India
Trusted Pest Control
Marketing Manager & Bookkeeper
January 1, 2024 – June 1, 2024
India
Data Engineering Pipeline
June 21, 2026 – Present
Built ETL pipelines with automated scheduling and data validation workflows.
AI Python Tutor
June 21, 2026 – Present
Developed an AI tool that answers programming questions using intelligent response generation.
View ProjectAI Customer Support Agent
June 21, 2026 – Present
Built an AI chatbot for customer queries with a web interface and API integration.
Computer Vision Sorting System
June 21, 2026 – Present
Created an object detection system for automated robotic sorting.
AWS Cloud Practitioner
Amazon Web Services (AWS)
June 1, 2026 – Present
Azure Fundamentals
Microsoft
June 1, 2026 – Present
Data Engineering (SQL, Python, Airflow, Docker, CI/CD)
Udemy
January 1, 2026 – Present
Microsoft Power BI Data Analyst (PL-300)
Microsoft
January 1, 2025 – Present
The candidate scored 82% on the 'Data Scientist — Artificial Intelligence' exam, indicating a solid understanding of the core concepts and skills required for the role.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and initiative in AI and data-related fields, aligning well with an AI Engineer role. The diversity of projects (ETL, AI Tutors, Chatbots, Computer Vision) shows a broad curiosity and willingness to explore different facets of AI. The pursuit of multiple certifications and cloud knowledge indicates a proactive, self-driven learning attitude, which is a positive cultural fit for a dynamic technical environment. However, the limited professional experience in core AI/ML roles might require mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights 'Strong analytical and problem-solving skills'. While the psychometric test score is low (217/500), indicating potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, the project descriptions suggest an ability to independently tackle complex technical challenges. The IT Support experience indicates some operational understanding and troubleshooting capabilities.