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AI Engineer with less than a year in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented graduate in Artificial Intelligence with strong skills in research, data analysis, and information gathering. Proficient in Python, SQL, and Excel with experience in structured analysis, data interpretation, and reporting. Strong communication, interpersonal, and problem-solving abilities with the capability to understand requirements and work efficiently in fast-paced, detail-oriented environments.
St John's College of Engineering and Technology
Bachelor of Technology (B.Tech) · Artificial Intelligence
August 1, 2022 – June 30, 2026
Spark Info Solutions Pvt Ltd
Full Stack Python Intern
November 1, 2025 – April 1, 2026
India
Banking Data Analysis using SQL
June 1, 2025 – June 1, 2026
Developed a structured banking database schema using tables including BANK_CUSTOMER, BANK_ACCOUNT, and BANK_ACCOUNT_TRANSACTION. Combined multi-table data through SQL join operations to establish customer, account, and transaction relationships. Derived financial metrics using aggregation functions (SUM, AVG, COUNT) along with GROUP BY clauses. Evaluated transaction timelines using date-based conditions to identify monthly and quarterly patterns. Applied conditional expressions, data filtering, and null-value handling to address banking query scenarios.
Labor Market Research & Skill Trend Analysis
June 1, 2025 – June 1, 2026
Conducted market research on job portals to analyze hiring trends and in-demand skills. Collected and maintained structured datasets using Excel and SQL for analysis and reporting. Used Python, Pandas, and NumPy for data cleaning, transformation, and trend analysis. Identified frequently required skills and hiring patterns across different industries. Created reports and visual insights using Excel, Matplotlib, and Power BI.
Skill Based Job Recommendation System
June 1, 2025 – June 1, 2026
Created a Flask web application to analyze resumes and recommend job roles based on extracted skills. Used NLP with NLTK for text processing and similarity matching between resumes and job descriptions. Generated match scores for job roles based on resume content to indicate relevance. Managed resume uploads and data processing using file handling with role based access control.
Achieved 65% on the Data Scientist — Artificial Intelligence test, indicating a solid grasp of core concepts but room for growth in more advanced or nuanced areas.
Strengths
Limitations
Scored 95% on the Application Developer — Experience Full Stack (Python) test, demonstrating exceptional command of Python full-stack development principles and practical implementation.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical approach to learning, covering areas like data analysis, web application development, and AI/NLP. The internship experience as a Full Stack Python Intern shows exposure to SDLC practices and collaboration, which aligns with a team-oriented culture. The diversity of projects (data analysis, recommendation systems) indicates a broad interest in applying AI/data science concepts. However, the psychometric test score suggests there might be some areas to explore regarding work attitude and stress handling during an interview to ensure a strong cultural alignment.
Soft Skills & Operational Fit
The candidate's profile summary highlights strong communication, interpersonal, and problem-solving abilities, along with attention to detail and team collaboration. These soft skills are essential for an AI Engineer working in cross-functional teams and complex project environments. The psychometric test score of 290/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, indicating potential areas for development in operational fit.
Strengths
Limitations