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AI/ML Engineer with data analytics and full-stack development skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate specializing in data analytics, AI systems, and full-stack development. Experienced in Python, SQL, and data visualization with strong interest in AI-driven and data-centric solutions. Completed AI-Powered Financial Research Assistant as Final Year Project.
NED University of Engineering & Technology
Bachelor of Science · Computer Science & IT
August 1, 2022 – Present
Bel College for Modern Sciences
Intermediate · Pre-Engineering
June 1, 2020 – May 31, 2022
NED University
VR Intern
June 1, 2026 – Present
India
Fauji Fertilizer Company (FFC)
ICT Intern
May 1, 2026 – Present
India
Genztechs
Data Science Intern
January 1, 2024 – December 31, 2025
India
AI-Powered Financial Research Assistant (Final Year Project)
June 1, 2026 – Present
Built financial analytics system using S&P 500 and Yahoo Finance data. Implemented AI search and RAG-based retrieval using vector databases. Generated intelligent insights for investment decision-making.
AI Hospital Recommendation System
June 1, 2026 – Present
Developed NLP-based chatbot for hospital recommendations. Integrated voice input and interactive UI. Used real-world data for personalized suggestions.
Google AI Professional Certificate
Coursera
June 1, 2026 – Present
Generative AI Developer Certificate
NCEAC-HEC
June 1, 2026 – Present
Google AI Essentials
Coursera
June 1, 2026 – Present
Google Data Analytics Certificate
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on AI-driven solutions, aligning with an innovative culture. The diverse internship experiences (Data Science, ICT, VR) suggest adaptability and a willingness to explore different technical domains. However, the lack of professional AI/ML experience means the depth of cultural fit within a dedicated AI engineering team is yet to be fully proven.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, and adaptability as soft skills. While these are valuable, there is no assessment data to validate their proficiency in these areas. The operational fit for an AI Engineer role is moderate, given the academic project experience and relevant certifications, but lacks professional AI/ML development experience.