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AI Engineer with less than a year in Data Analytics, Predictive Modeling & Generative AI.
AI & Machine Learning Enthusiast with hands-on experience in Data Analytics, Predictive Modeling, Machine Learning, and Generative AI applications. Skilled in Python, SQL, NLP, and AI-powered automation with experience in building intelligent systems using LLMs, LangChain, and AI workflows. Strong understanding of data analysis, dashboard development, and predictive analytics with a a passion for developing scalable AI-driven solutions.
D.Y. Patil Agricultural and Technical University
Master of Computer Applications
August 1, 2024 – June 30, 2026
Shivaji University
Bachelor of Science · Computer Science
N/A – June 30, 2021
Shivaji University, Kolhapur
Higher Secondary Certificate (HSC - 12th)
N/A – Present
Cambridge School, Miraj
Secondary School Certificate (SSC - 10th)
N/A – Present
AI Resume Analyzer using LLMs
June 19, 2026 – Present
Developed an AI-powered resume analyzer using Python and OpenAI APIs. Implemented ATS score prediction and keyword matching using NLP techniques. Built resume-job description matching functionality using semantic similarity. Integrated Streamlit interface for interactive resume analysis. Used prompt engineering and LLM-based text processing for resume optimization.
Vendor Invoice Intelligence System
June 19, 2026 – Present
Developed machine learning models to predict freight costs and detect high-risk invoices. Performed data preprocessing, feature engineering, and exploratory data analysis. Built regression models for cost prediction and classification models for risk detection. Improved financial risk analysis and anomaly detection using predictive analytics.
AI Chatbot using LangChain and RAG
June 19, 2026 – Present
Built an intelligent chatbot using LangChain, OpenAI API, and vector databases. Implemented Retrieval-Augmented Generation (RAG) for context-aware responses. Used embeddings and semantic search for document retrieval. Integrated conversational memory and AI agent workflows.
Sales Insights Dashboard
June 19, 2026 – Present
Developed an interactive dashboard to analyze sales across multiple product categories. Performed data cleaning and transformation using Power Query. Created KPIs and visualizations using DAX. Identified sales trends and top-performing products using business intelligence techniques.
Customer Discount Prediction System
June 19, 2026 – Present
Built classification model to identify customers eligible for discounts. Performed feature engineering and model evaluation. Improved customer targeting efficiency using predictive analytics.
Darshan Ease Web Application
June 19, 2026 – Present
Developed full-stack web application for booking temple slots and accommodations. Built backend APIs using Node.js and Express.js. Managed database using MongoDB. Implemented responsive UI and backend integration.
PGP in Data Science and Business Analytics
Unknown
June 1, 2026 – Present
Generative AI with LangChain and Hugging Face
Unknown
June 1, 2026 – Present
Machine Learning Fundamentals
Unknown
June 1, 2026 – Present
AWS Certification
Unknown
June 1, 2026 – Present
Google AI Essentials
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects, ranging from AI applications to data analysis dashboards and web development, indicate a broad interest in technology and a willingness to explore different domains. The pursuit of advanced education and certifications suggests a growth mindset. The focus on AI-driven solutions aligns well with an AI Engineer role, demonstrating a clear career direction. However, the lack of team-based projects or professional experience limits the assessment of collaboration and adaptability in a corporate culture.
Soft Skills & Operational Fit
The candidate demonstrates a passion for AI and a proactive learning attitude, as indicated by pursuing a Master's degree and multiple certifications in AI/ML. Project descriptions suggest problem-solving abilities and an interest in building scalable AI-driven solutions. However, without direct work experience, it's difficult to assess operational fit, teamwork, or stress handling capabilities.