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Turning Data Chaos into Clarity
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Turning Data Chaos into Clarity

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Mudassiruddin7/README.md

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Skills: Machine Learning, Deep Learning, NLP, Statistical Analysis, Data Science Coding

  • 🔭 I’m currently working on Data Science Projects
  • 🌱 I’m currently learning Hadoop, Spark, PowerBI, Tableau
  • 👯 I’m looking to collaborate on Open-Source Projects
  • 🤔 I’m looking for help with Open-Source Contributors
  • 💬 Ask me about Data Science
  • 📫 How to reach me: mohd.mudassiruddin7@gmail.com
  • ⚡ Fun fact: Numbers don't lie, they reveal!!

Connect with me:

mudassiruddin21 mudassiruddin7 mudassiruddin7 mudassiruddin21 mudassiruddin21

Languages and Tools:

appwrite arduino bootstrap c chartjs cplusplus css3 electron express figma firebase git heroku html5 javascript materialize mongodb mssql mysql nextjs nodejs postgresql postman python react redux sass svelte tailwind typescript

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  1. YatraKavach YatraKavach Public

    SmartYatra is a revolutionary tourist safety and monitoring platform designed to protect and assist travelers throughout their journey.

    TypeScript

  2. TradeGenie TradeGenie Public

    TradeGenie is an educational, proof-of-concept trading platform that combines a sleek React-and-Vite web interface with a robust Python-based backend powered by FastAPI and Poetry.

    Python 1

  3. BioNova BioNova Public

    Predict gene edits. Monitor lab conditions. Secure your research.

    TypeScript 1

  4. MediCoach MediCoach Public

    This medical application leverages advanced machine learning models to predict results across a wide range of medical tests with high accuracy. By analyzing patient data, the app delivers real-time…

    Jupyter Notebook

  5. Identifying-Defects-In-Various-Fabric-Using-CNN Identifying-Defects-In-Various-Fabric-Using-CNN Public

    Detect fabric defects with precision using CNN in this project, ensuring product quality and reducing manufacturing errors.

    Jupyter Notebook 1

  6. Detection-Of-Retinal-Pigmentosa-In-Paediatric-Age-Patients-Using-CNN-With-Tkinter-Framework Detection-Of-Retinal-Pigmentosa-In-Paediatric-Age-Patients-Using-CNN-With-Tkinter-Framework Public

    Revolutionizing pediatric retinal disease diagnosis, our innovative approach employs Convolutional Neural Networks (CNN) integrated with Tkinter framework for swift and accurate detection of Retina…

    Jupyter Notebook 1