Mayank Kapadane

I’m a Fresher with a strong interest in Data Science, Machine Learning, and AI-driven applications. I enjoy building real-world projects that combine software engineering with intelligent systems.

My core skills include Python, SQL, Machine Learning, Data Analysis, and LangChain-based LLM applications. I’ve worked on projects such as RAG-based systems, AI-powered assistants, face recognition attendance systems, and full-stack applications integrating MERN with AI features. I focus on understanding concepts deeply — not just using tools, but knowing how and why they work.

I’m particularly interested in

• Applied Machine Learning
• NLP and Large Language Models
• Building scalable AI systems

Python Internship at Promount Technologies (2026-01 – 2026-04)

• Built 2 AI-powered applications using LangChain (LCEL), specializing in RAG architecture and agent workflows.
• Developed a Document Q&A system using FAISS for efficient semantic search across PDFs.
• Created a database conversational agent handling 1000+ tables using ChromaDB with optimized query performance.

Data Analyst Intern at CSRBOX® (2024-12 – 2025-01)

Turning Data into Decisions using Python with CSRBOX Foundation.

• Strengthened skills in Python, data analysis, data visualization, and foundational machine learning.
• Enhanced practical understanding of data-driven decision-making using real-world datasets and analytical workflows.

Bachelor in Technology – Silver Oak University (2022-03 – 2026-03)

IBM Data Science Professional Certificate – Coursera (2025-03)