📚 Engineer | 🌐 Founder, Nebula Community | 💡 Microsoft Learn Student Ambassador (Alpha)

I’m Yasir Usman, an AI, Machine Learning, and Data Science enthusiast with a strong foundation in Engineering from Riphah International University. My passion lies in creating innovative solutions, empowering communities, and sharing knowledge to drive technological advancement.

As the Founder of Nebula Community, I’ve established a platform that brings together over 2,000 learners and professionals, fostering a culture of inclusivity, collaboration, and skill development. Our mission is to provide a thriving ecosystem where individuals can explore cutting-edge technologies, upskill, and innovate.

• Community Leader:

  • Founded Nebula Community, a LinkedIn group dedicated to discussions on AI, ML, and Data Science, now 2,000+ strong.
  • Organized leadership and tech-driven events as Vice President of Riphah Model United Nations Society and Society of Engineering Professionals (SIEP).

• Microsoft Learn Student Ambassador (Alpha):

  • Led impactful initiatives that demystified Microsoft technologies for global learners.
  • Crafted engaging educational content, simplifying complex concepts into accessible formats.

• Data Science Innovator:

  • Built projects like a Breast Cancer Prediction Model and performed EDA on Credit Card Fraud Detection, showcasing expertise in machine learning, data visualization, and model evaluation.

Programming Languages: Python, C++, C#, JavaScript, HTML/CSS
AI/ML Tools: TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Plotly
Technologies: Streamlit, Machine Learning, Data Analysis, Knowledge Graphs
Concepts: Classification, Regression, Feature Engineering, Model Optimization
Soft Skills: Leadership, Collaboration, Communication, Problem-Solving

• Air-Writing Recognition System:
  Developed a real-time computer vision system that captures mid-air hand gestures using OpenCV and MediaPipe.

• Breast Cancer Prediction Model:
  Built an intuitive Streamlit-based ML model for real-time breast mass classification.

• Credit Card Fraud Detection:
  Conducted an in-depth Exploratory Data Analysis (EDA) using Python libraries to detect anomalies and fraudulent patterns.

• Heart Disease Analysis:
  Analyzed patient datasets to uncover key risk indicators for heart disease using advanced data analysis and visualization techniques.

• Machine Learning & Data Science: IBM, Coursera, and Udemy programs.
• Cloud & AI: Microsoft Azure AI Fundamentals, Generative AI Solutions.
• Cybersecurity: Cisco, Microsoft, and LinkedIn certifications.
• Programming: .NET Development with C#, Web Development.

• LinkedIn: linkedin.com/in/yasirusmann
• GitHub: github.com/yasirusman85
• Portfolio: Coming Soon

📢 "Empowering communities, driving innovation, and fostering a passion for technology—join me on this journey toward continuous learning and discovery."