AI Engineer with 1+ years in Banking Applications & AI Model Integration
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Intern and aspiring Machine Learning Engineer with hands-on experience in banking domain applications, document verification systems, API testing, deployment workflows, and AI model integration. Strong in Python, Git/GitHub, Docker, Postman, SQL, and Machine Learning frameworks. Experienced in data preprocessing, model building, evaluation, and performance optimization. Practical exposure to NLP, Deep Learning, and LLM implementation using Ollama.
Maharashtra University
Bachelor of Commerce
August 1, 2016 – June 30, 2018
Tata Group (Forage)
Virtual Internship
June 1, 2025 – June 1, 2025
India
Alpha Fin Soft Pvt. Ltd.
Software Intern
May 1, 2025 – Present
India
Unified Mentor
Data Science Virtual Intern
May 1, 2025 – June 1, 2025
India
Wine Quality Prediction
June 1, 2026 – Present
Built ML models for quality prediction with EDA and preprocessing.
Medical Insurance Prediction
June 1, 2026 – Present
Developed predictive models and improved data quality.
Statistics Case Study
June 1, 2026 – Present
Analyzed lifestyle and salary correlations with dashboards.
Oracle SQL
Unknown
June 1, 2026 – Present
Machine Learning
Unknown
June 1, 2026 – Present
Tally
Unknown
June 1, 2026 – Present
Python Programmer
Unknown
June 1, 2026 – Present
Artificial Intelligence
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships show an interest in data science and AI, aligning with the target role. The diversity of projects (wine quality, medical insurance, statistics case study) indicates a broad interest in applying ML/AI to different domains. However, the experience level is junior, and the projects are personal, which might suggest a need for more exposure to team-based, production-grade development environments. The Bachelor of Commerce degree is not directly aligned with a technical AI role, but the certifications and internships demonstrate a pivot towards the field.
Soft Skills & Operational Fit
The candidate's resume indicates involvement in banking-based applications, suggesting an ability to work in regulated environments. The description of implementing and testing LLM models implies a proactive approach to learning and applying new technologies. However, the experience is primarily at an intern level, which may require more guidance in a senior role. The lack of detailed descriptions for virtual internships and personal projects makes it difficult to fully assess collaboration and problem-solving skills.