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
AI and Data Science undergraduate with a strong foundation in programming, data analysis, and applied machine learning. Experienced in building practical, end-to-end technical solutions through academic and project-based work. Quick learner with a problem-solving mindset, seeking an entry-level role to contribute to real-world systems while continuously developing technical expertise.
Terna Engineering College, Nerul
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Open to Work
Fresher / Aspiring AI Engineer
June 1, 2026 – Present
India
Interactive Document Chatbot for AI-Driven Learning Support
June 1, 2026 – Present
Built a semantic document Q&A chatbot enabling intelligent querying over uploaded PDFs. Implemented document chunking, vector embeddings, and FAISS-based similarity search. Improved response relevance using context-aware LLM-based answer generation.
View ProjectAI-Based Wildlife Monitoring & Behavior Analysis System
June 1, 2026 – Present
Developed a system to classify animal behaviors such as grazing, hunting, resting, and movement. Processed wildlife videos into labeled clips for supervised and semi-supervised learning. Extracted spatiotemporal features to improve behavior recognition accuracy.
View ProjectUber Data Analytics Dashboard
June 1, 2026 – Present
Designed an interactive dashboard to analyze Uber ride demand and operational trends. Built DAX measures and relational data models for dynamic analysis. Delivered actionable insights through time-based and geographic visualizations.
View ProjectCultural Fit Analysis
The candidate's academic projects show a good breadth of AI applications, from chatbots to wildlife monitoring and data analytics, indicating diverse interests. The participation in hackathons and a first-place win suggest a proactive and competitive spirit. The target role of 'AI Engineer' aligns well with the candidate's academic background and project focus. However, as a fresher, the exposure to diverse team environments and corporate culture is limited, which might require some adaptation.
Soft Skills & Operational Fit
The candidate demonstrates a problem-solving mindset and a quick learning ability, as stated in the professional summary. Project descriptions indicate an ability to work on complex technical challenges. However, without specific psychometric test results or interview data, it's difficult to fully assess stress handling, team collaboration, or other operational fit aspects.