I am a highly motivated and detail-oriented MCA graduate (CGPA: 9.01) specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Data Analytics. With practical experience as a Data Analyst and a Python Programming Intern, I bridge the gap between complex raw data and actionable AI-driven solutions.

I love building computer vision pipelines, designing deep learning models, and turning messy data into interactive business dashboards. I am actively seeking opportunities as an AI/ML Engineer, Data Analyst, Python Developer, or Software Engineer where I can contribute to building scalable, intelligent applications.

• 🎓 Education: Master of Computer Applications (MCA) — CGPA: 9.01 | BCA — CGPA: 8.9
• 💼 Experience: Data Analyst @ Theody Svadhyay Trailblazer | Python Programming Intern @ RankBook Learning
• 🧠 Focus Areas: Deep Learning (CNNs, CV), Predictive Modeling, Data Wrangling & Interactive Dashboards
• 🌱 Currently Learning: MLOps pipelines (Docker, GitHub Actions, MLflow) and Advanced Natural Language Processing (NLP)

A deep learning application that classifies food images and estimates calorie values using Convolutional Neural Networks (CNNs).

Technologies: Python, TensorFlow, Keras, OpenCV, NumPy, Pandas

An interactive inventory management dashboard built using Python to visualize inventory data and monitor stock efficiently.

Technologies: Python

A Streamlit-based personal expense tracker that helps users record, visualize, and analyze daily expenses.

Technologies: Python, Streamlit

• Presented a research paper under the Artificial Intelligence track.
• Explored machine learning techniques for fraud detection using Yahoo Finance-derived market data.
• Applied anomaly detection and classification algorithms to analyze financial transaction patterns.

• Presented a research paper under the Social Sciences track.
• Conducted a survey-based study to analyze stress factors affecting students living in PG accommodations.
• Examined factors such as living conditions, food quality, financial constraints, and academic pressure using statistical analysis.

"Leveraging Data and Machine Learning to build intelligent solutions for a better tomorrow ⭐️ "