Data Science student specializing in AI and Machine Learning. Experienced in Python, SQL, Tableau. Built end-to-end AI apps for automation and data analysis.

• Languages: Python, SQL
• Libraries/Frameworks: Pandas, Numpy, Scikit-Learn, Plotly, LangChain, Streamlit
• Tools: Git, Tableau, Power B
• Core Areas: Data Analysis, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models

• Prompt Engineer Intern — CSRBOX | IBM Winter Internship (Dec 2024 – Jan 2025)
  • Designed an end-to-end product launch simulation using AI tools and prompt engineering.
  • Integrated AI into product conceptualization, market analysis, strategy, and financial planning.
  • View Certificate

• Zeno – Automated Data Analysis
  LLM-powered tool for dataset summarization, anomaly detection, and visualization.

• Brainbrew – Learn Efficiently
  AI tutor that generates notes, quizzes, and adaptive learning material.

• Data Science Projects
  Includes Titanic Survival Prediction, Student Performance EDA, and more.

• Career Essentials in Data Analysis — Microsoft & LinkedIn 🔗
• Applied Data Science with Python Level 2 🔗
• Data Science 101 — IBM 🔗