I'm an Applied Computing graduate interested in building practical machine learning and data-driven systems. My work spans machine learning, data analytics, cybersecurity, privacy-preserving ML, and optimization.
- π Master of Applied Computing graduate
- π¬ Experience with applied AI/ML and data science research
- π§ Interested in machine learning, data analytics, optimization, and intelligent systems
- π Exploring secure and privacy-preserving machine learning
- π± Building portfolio-grade ML systems with a focus on production-ready Python, SQL, and software engineering
- πΌ Open to opportunities in AI/ML, Data Science, and Data Analytics
I'm currently organizing and documenting my strongest technical projects here, including work involving:
- π² Machine Learning for Forest Analytics
- π Secure Federated Learning
- π GPS Spoofing Detection in VANETs
- π§ Neural Networks & Clustering
- ποΈ SQL & Data Analytics
Detailed repositories, results, and reproducible implementations are being added progressively.
Languages
Python SQL Java
Machine Learning & Data
scikit-learn Pandas NumPy Matplotlib
Areas
Machine Learning Data Analysis Cybersecurity Federated Learning Optimization
Tools
Git GitHub Jupyter Notebook
- πΌ LinkedIn: https://www.linkedin.com/in/heta-shukla-5305541b4
- π§ Email: hetashukla07@gmail.com