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Prakshi-23/ReadMe.md

💫 About Me:

I am a Data Analyst and Developer specializing in turning complex datasets into predictive models and actionable business intelligence.
Currently interning at Dun & Bradstreet India, I build scalable data pipelines using PySpark and Databricks to handle large-scale commercial data modeling.
With a strong technical foundation spanning machine learning modeling (AdaBoost), desktop application design (CustomTkinter/MySQL), and enterprise reporting (Power BI/DAX), I focus on building clean, automated tools that solve real-world analytical problems.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python CSS3 HTML5 Bootstrap OpenCV Flask Apache MySQL Keras Matplotlib NumPy Pandas TensorFlow PyTorch scikit-learn Scipy Git Power Bi

📊 GitHub Stats:



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    AI-powered Complaint Classifier and Responder

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  2. Bank-Application- Bank-Application- Public

    # Banking Application (GUI) A desktop-based Banking Application built with Python and CustomTkinter, featuring account management, transactions, and customer verification.

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  3. PDF_QnA_RAG PDF_QnA_RAG Public

    The PDF_QnA_RAG project enables users to ask questions about PDF documents using retrieval-based context and LLM-generated answers.

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    🚀 Built a Placement Prediction System using machine learning to analyze student data and predict placement chances. Achieved 81.05% accuracy with AdaBoost and deployed a Streamlit app for real-time…

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    Simple To-Do Application using Flask Python

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