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paramveerkaur1/README.md

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🔍 About Me

🎓 Pursuing MBA in Data Science & AI from Chandigarh University, 2024-26 (CGPA: 9.26/10)
👩‍🎓 Completed B.Tech. Computer Engineering, Punjabi University, 2012-16 (CGPA: 8.52/10)
💼 7+ years at Infosys (2016–2024), progressing from individual contributor to Team Lead
🤖 Hands-on experience in Machine Learning, Data Analysis and Visualization
♟️ Skilled in Python, SQL, SAS, Angular, Product Development and ML libraries (Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn)
🏆 Achievements: Apexathon SAS Hackathon (2nd Runner-up), Infosys Inspire Award for Most Valuable Player
📈 Interested in building AI-powered business solutions, NLP, and Deep Learning
💡 Enjoy turning raw data into insightful stories, strategies, and smarter decisions

🚀 What I’m Working On

  • Building end-to-end machine learning projects with real business context
  • Understanding model evaluation, interpretability, and deployment practices
  • Exploring CV, NLP and deep learning use cases

🛠 Tech Stack

  • Languages: Python, SQL, SAS, HTML
  • ML / DS: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Tensorflow
  • Frontend / Product: Angular, Product Development
  • Tools: Git, Jupyter, SAS Studio, SAS Viya

🎓 Certifications

  • SAS Certified Specialist - Machine Learning Using SAS Viya 🔗
  • SAS Certified Specialist - Visual Business Analytics Using SAS Viya 🔗
  • SAS Certified Specialist - Base Programming Using SAS 9.4 🔗
  • Microsoft Certified - Azure Data Fundamentals 🔗

📲 Connect with Me

I’m passionate about building AI-powered solutions and leveraging machine learning, data science, and software engineering expertise to solve real-world problems. If my interests align with yours, please reach out to me at:

🪪 LinkedIn
🧠 Kaggle
📧 Email

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  1. anomaly-detection-in-network-traffic anomaly-detection-in-network-traffic Public

    Using unsupervised learning techniques such as isolation forests or autoencoders to detect unusual patterns or anomalies in network traffic data, which could indicate potential security breaches or…

    Jupyter Notebook

  2. diabetes-prediction-using-rfc-streamlit diabetes-prediction-using-rfc-streamlit Public

    Diabetes Prediction using Random Forest Classifier and deployment of prediction model using Streamlit

    Jupyter Notebook

  3. house-price-prediction-using-xgboost house-price-prediction-using-xgboost Public

    House Prices - Advanced Regression Techniques

    Jupyter Notebook

  4. breast-cancer-prediction-logistic-regression breast-cancer-prediction-logistic-regression Public

    Build a binary classifier using logistic regression using Scikit-learn, Pandas, Matplotlib libraries

    Jupyter Notebook