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AI Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Artificial Intelligence graduate from QUEST Nawabshah, skilled in Python, SQL, Machine Learning, Data Analysis, and Data Visualization. Experienced in developing machine learning projects, analyzing data, and creating interactive dashboards. Passionate about solving real-world problems using data and AI, and eager to contribute to a data-driven organization.
QUEST Nawabshah
Bachelor of Science · Artificial Intelligence
August 1, 2021 – June 30, 2025
Superstore Sales Analytics Dashboard
January 1, 2025 – June 1, 2026
Built an end-to-end sales analytics solution featuring a star-schema data warehouse, advanced SQL analysis, and interactive business dashboards.
View ProjectE-Commerce Return Prediction System
January 1, 2025 – June 1, 2026
Developed a machine learning system to predict product return risk and built an interactive dashboard for sales analytics and return prediction.
View ProjectAutoPredict Studio
January 1, 2025 – June 1, 2026
Developed an automated machine learning platform for data preprocessing, model training, model comparison, and predictive analytics.
View ProjectInternship in Data Science and AI
Coretech Innovation
May 1, 2026 – Present
Google AI Essentials Course
January 1, 2025 – Present
Google Data Analytics Professional Course
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying AI to real-world problems (e-commerce, sales analytics) and building tools (AutoPredict Studio). This aligns with a culture that values innovation and practical application. The personal nature of all projects, combined with a lack of professional experience, suggests a strong individual drive but limited exposure to collaborative, large-scale team environments typical in many organizations. The breadth of skills covers core AI/ML, data analysis, and visualization, which is a good foundation for an AI Engineer role.
Soft Skills & Operational Fit
The candidate lists problem-solving, time management, teamwork, communication, and adaptability as 'Other Skills'. While these are crucial for operational fit, there is no direct evidence from the provided data (e.g., interview notes, peer feedback) to validate these claims. The project descriptions are clear, suggesting good written communication.