👋 Hi, I'm Huzaifa, an enthusiastic materials informatician with a flair for transforming raw materials data into valuable insights. My exploration in the realm of materials informatics has been thrilling, and I'm eager to showcase my projects, code, and discoveries with the community.
I am a Materials Informatician with a passion for advanced analytics and machine learning, specifically in the realm of Materials Informatics. My primary goal is to harness cutting-edge technology to extract actionable insights, fostering data-driven decision-making in collaborative and innovative environments within the materials science domain.
- 🧪 Experiment with materials data to uncover hidden patterns.
- 🤖 Develop and deploy machine learning models tailored for materials science applications.
- 📉 Create data visualizations that narrate compelling stories about material behaviors.
- 📚 Continuously learn and stay up-to-date with the latest trends in Materials Informatics and data science.
- 💻 Proficient in Python, MATLAB, and Linux-based computational tools.
- 📊 Skilled in essential data science libraries: numpy, pandas, sci-kit-learn, seaborn, matplotlib, TensorFlow.
- 🚀 Hands-on experience with tools like Jupyter Notebooks, VS Code, and FreeCAD.
- 📈 Experienced in data analysis, preprocessing, visualization, and feature engineering.
- 🤖 Worked with Machine Learning Algorithms: Regression, Classification, Random Forest, Artificial Neural Networks.
- 🧠 Skilled in Neural Networks, Deep Learning Architectures, and Frameworks (TensorFlow/PyTorch).
- 🛠️ Advanced material characterization: SEM, XRD, and failure analysis.
-
Materials Data Sciences and Informatics (Georgia Institute of Technology)
Focused on Materials Development, Data Science, Two-Phase Composites, and Process-Structure Evolution. (Ongoing) -
Machine Learning Specialization (Stanford University and DeepLearning.AI)
Trained in building ML models with numpy, scikit-learn, TensorFlow for regression, classification, clustering, and deep reinforcement learning. (Ongoing) -
Google Project Management Professional Certification (PMP)
Mastered leadership and project execution. (2023) -
Creativity and Problem-Solving Skills (Metropolitan School of Business and Management, UK)
Certified in innovative problem-solving strategies. (2021)
- 🏆 1st Prize Winner at the Pakistan Auto Show 2024 for an AI-driven fatigue strength prediction model.
- 🏆 Winner of METACOMP 1.0, a National Metallography Competition by UET Lahore.
- 🌐 Ambassador at Career Crafters - a Career Development Platform.
- 🤝 Co-Leader of the Research and Innovation team at SciComS-Science Communication Society.
- 📝 Content Admin on LinkedIn (SciComS), achieved 500+ followers with high engagement.
- Data-Driven Prediction of Fatigue Strength in 4140 Alloy Steel: Built high-accuracy ML models (Random Forest, ANN) to predict fatigue strength, optimizing automotive steel performance.
- Corrosion Rate Analysis of Mild Steel in Saline Solutions: Conducted advanced corrosion studies with SEM, XRD, and AAS to inform industrial applications.
- Heat Treatment Optimization for Gear Manufacturing: Enhanced process designs for case-hardening and nitriding, contributing to durable materials production.
Feel free to explore my repositories to learn more about my projects and contributions. 🌟
- 📧 Email: [email protected]
- 🌐 LinkedIn: Huzaifa Ahmad
- 🌐 GitHub: [Your GitHub Link]