Are You the Next Physicist to Change the World?

🎁 What You'll Take Away

🏆 Showcase your skills to the global data science community: Participate in a Kaggle competition
💼 Impress employers with an online ML web application: Demonstrate your end-to-end skills
🖥️ Present professional repositories that hiring managers love to see: Build a standout GitHub portfolio
🎓 Earn a certificate of achievement: Proudly display it on your LinkedIn profile to strengthen credibility
🚀 Transform from learner to practitioner: Go beyond theory and build a real, production-ready ML app
📈 Boost your career: Gain the confidence and practical know-how, to step into real data science roles

👨‍🏫 Speakers

Ardavan Borzou, PhD

Physicist & Data Scientist

Data science Fellow of the National Library of Medicine | 14+ years in data roles | Postdoctoral researcher | Analyzed terabyte-scale data at CERN (author) | Published data science algorithms for living systems | Published single-author top journal articles proposing alternative to Einstein's theory | Co-Founder and Manager of CompuFlair LLC

Razie Yousefi, PhD

Physicist • Data Scientist

R&D Data Scientist | Bridging physics, machine learning, and biomedicine | Co-Founder & Chief Data Scientist of CompuFlair LLC | Expert in quantitative modeling and advanced ML | Specialized in survival analysis and biomedical data analysis

Ahmed Karem Mousa

MLOps & Solutions Architect

Creator of Thoth, a decentralized distributed data computation framework | Google TensorFlow Certified (2022–2025) | Specialist in Machine Learning Operations, System Design, and ML Pipelines | Experienced in leading teams and delivering production-ready AI products.

📝 Synopsis

Advanced House Price Prediction

This webinar will guide you through the entire workflow: from raw data preparation to deploying a production-ready web application that you can showcase in your portfolio and leverage for career advancement. You'll gain practical experience in turning a machine learning model into a web application accessible globally, build a robust GitHub portfolio, and earn a certificate to display on your LinkedIn profile. Additionally, you'll learn how to participate in Kaggle competitions, a key step in gaining visibility within the data science community.

You will:

🐙 Set up your GitHub account and connect it to VS Code on your device
🐍 Create a reproducible Conda environment
🧪 Turn raw data into model-ready inputs
- 🗂️ Data Preparation
- 🔎 EDA
- 🧩 Handle Missing Data
- 📈 Handle Outlier
- 🛠️ Engineer New Features
- 🎛️ Select features systematically
🤖 Train and evaluate a house-price machine learning model
🏅 Set up Kaggle and submit to a competition
🚀 Deploy the trained model to an online web app using Streamlit and Docker on Linux servers
🌟 Publish your version to your GitHub to build your portfolio
📜 Showcase on LinkedIn with a certificate

👥 Who Should Attend

Whoever:

🌌 Have a background in physics or similar fields
🌎 Wish to revolutionize the world of AI using physics
🔄 Transitioning into data science or machine learning professions
🧮 Good at math and Python programming

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