I am an MCA graduate specializing in Artificial Intelligence & Machine Learning, with a strong foundation in Python, SQL, Data Science, Machine Learning and Data Analysis.
I enjoy building practical, end-to-end projects that transform data and documents into meaningful insights and intelligent applications. I am currently strengthening my skills in Data Science, Machine Learning, Generative AI, and AI-powered applications.
- 🎓 MCA – Artificial Intelligence & Machine Learning
- 🎓 B.Sc. – Physics, Electronics & Mathematics
- 💼 Data Science Intern at AcmeGrade
- 📊 Interested in Data Science, Machine Learning & Artificial Intelligence
- 🧠 Exploring Generative AI, RAG, and Document Intelligence
- 🛠️ Enjoy building practical, end-to-end data and AI projects
- 📚 Continuously learning and improving my problem-solving skills
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Feature Engineering
- Supervised & Unsupervised Learning
- Model Evaluation
- Statistical Analysis
- Machine Learning
- Deep Learning Fundamentals
- Generative AI
- Retrieval-Augmented Generation (RAG)
- Document Intelligence
- LLM-based Applications
- AI-powered Information Retrieval
A document-grounded question-answering application built using Retrieval-Augmented Generation (RAG). The system retrieves relevant information from indexed PDF documents and generates answers grounded in the retrieved content.
Key areas:
Python RAG FAISS Sentence Transformers Groq API GPT-OSS-20B Streamlit
Machine learning project focused on predicting medical insurance charges using demographic and health-related features.
Key areas:
Python Pandas EDA Feature Engineering Machine Learning Model Evaluation
Data analysis project exploring hotel booking patterns, cancellations, customer behavior, and business insights.
Key areas:
Python Pandas NumPy Matplotlib EDA Data Visualization
NLP-based project for analyzing textual data and classifying sentiment.
Key areas:
Python NLP Text Preprocessing Machine Learning Classification
Worked on practical data science problems involving data analysis, preprocessing, visualization, and machine learning.
Developed hands-on experience in transforming datasets into meaningful insights and applying machine learning concepts to practical problems.
- Data Science
- Machine Learning
- Generative AI
- RAG & Document Intelligence
- Deep Learning
- SQL & Data Analytics
I am currently looking for opportunities where I can apply my knowledge of:
Data Science → Machine Learning → Artificial Intelligence → Generative AI
while continuing to learn, build practical projects, and grow as a technology professional.
