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AI Engineer with less than a year in Data Analytics & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven ComputerScience&Engineer student (CGPA: 7.15/10) specializing in predictive Data Analytics, Machine Learning, and Generative AI pipelines. Proven track record leveraging Excel for data preprocessing, building Power BI dashboards, and deploying end-to-end ML workflows in Python. Skilled in neural networks, Prompt Engineering, and LLM integration.
GIET University
B.Tech. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Annada College, Hazaribagh
Intermediate · Science
N/A – May 31, 2022
Mount Egmont School, Hazaribagh
Secondary
N/A – May 31, 2020
HighRadius
Marketing Intern
May 1, 2026 – June 1, 2026
India
Octanet & Codsoft
Web Development Intern
June 1, 2025 – August 31, 2025
India
Face Emotion Detection & Generative AI System
September 1, 2025 – June 1, 2026
Built and deployed a real-time computer vision app using CNNs to identify and classify human emotions from live video feeds. Resolved a 40% class imbalance by using GenAI to synthesize artificial data profiles, boosting model accuracy by 12%.
Seed Germination Prediction & Data Analytics System
January 1, 2025 – August 31, 2025
Engineered a data pipeline using Excel for advanced data cleaning and statistical EDA on 10,000+ multi-variable records. Deployed predictive Python regression algorithms to optimize crop yields with an interactive Power BI dashboard for stakeholders.
Generative AI Engineering - LLMs, application deployment, advanced prompt patterns
Unknown
June 1, 2026 – Present
Advanced Python Programming
Internpe, GIET University & Upskill
June 1, 2026 – Present
Web Engineering Stack
Octanet & Codsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies, which is a positive indicator for cultural fit in an innovative environment. The diversity of projects (computer vision, data analytics, web development) and internships (marketing, web development) suggests adaptability and a willingness to explore different domains. The target role of AI Engineer aligns well with the candidate's stated technical skills and project experience in Generative AI and Machine Learning.
Soft Skills & Operational Fit
The candidate lists leadership, communication, problem-solving, and time management as soft skills. Project descriptions indicate some level of problem-solving (e.g., resolving class imbalance) and communication (e.g., interactive Power BI dashboard for stakeholders). The marketing intern role also suggests exposure to data-driven outreach and automated reporting, which requires operational efficiency. However, without direct assessment, the depth of these soft skills cannot be fully validated.