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Achievement: QuickdrawAchievement: Pull Shark

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supremkc05/README.md

Hi there, I'm supremkc 👋

Aspiring Data Analyst and UI/UX designer· Student · Lifelong Learner

👩‍💻 About Me

  • 🔬 I’m a student passionate about data science and analytics.
  • 🌱 Currently learning everything I can there’s always something new in tech!
  • ⚡ I thrive on practical projects and hands-on problem solving.

🛠️ Skills & Technologies

  • Languages/Frameworks: Python, Java, FastAPI
  • Data Science: Machine Learning, Power BI, Excel, Roboflow
  • Libaries: sklearn,pandas, tenserflow, numpy, matplotlib, seaborn, plotly, pytorch, pydantic ,scipy , Streamlit
  • Devops and tools: Git/Github, Docker
  • Desigh and Prototyping : Figma

🚀 Projects

  • Pothole Detection Model:
    Leveraging computer vision and machine learning to help identify potholes for safer roads.

  • Trek Analysis:
    Analyzing and visualizing trek data to uncover patterns and insights for outdoor enthusiasts.

  • global Job Market Analysis:

🌳 Fun Facts

  • 🏸 Avid badminton player
  • 🌲 Prefer being in nature over sitting indoors

“Stay curious. Keep learning. Enjoy the journey.”

Pinned Loading

  1. SentimentalAnalysis SentimentalAnalysis Public

    Sentimental Analysis on Daraz Product Reviews

    Jupyter Notebook 1

  2. DajuBhaiMiniMart_Analysis DajuBhaiMiniMart_Analysis Public

    This project is basically a data analysis on the dajubhai minimart data in which i have applied some of the exploratory data analysis and applied ml models and predict the sales and loyality member

    HTML

  3. TrekDataAalysis TrekDataAalysis Public

    Trek recommendation system based on the inputs provided by the user.

    Jupyter Notebook 2

  4. StudentManagementSystem StudentManagementSystem Public

    advanceprogrammingproject

    Java 1 1

  5. yolov4-tinymodel yolov4-tinymodel Public

    Training process of volov4-tiny model for potholes detection performing some configuration in the darknet and files

    Jupyter Notebook

  6. FoodandBeverage_Data_Analytics FoodandBeverage_Data_Analytics Public

    This project analyzes a dataset of food and beverage shops, performing data cleaning, exploratory data analysis (EDA), visualizations, and predictive modeling using machine learning.

    HTML