- Undergradute student with solid understanding of key math and computer science concepts, including linear algebra, calculus, and probability.
- Familiar with data structures like arrays, linked lists, stacks, queues, trees and graphs.
- Proficient in in Python for data science and essential machine learning algorithms such as linear regression, logistic regression, decision trees, KNN, naive bayes and Support vector machine (SVM).
- Completed training in IoT, where I learned about C language, ESP32, and the MQTT protocol. Applied these skills to create Smart Cooling System.
- Knowledgeable in clustering techniques like K‑means, K‑medoids and hierarchical clustering.
- Basic understanding of Databases, cloud computing and neural networks.
- Basic skills in Java, MySQL and Docker.
- 🌱 Eager to learn more and take on any opportunity to grow and apply my skills in real‑world projects.
Linux |
Git |
Docker |
C++ |
Arduino |
Java |
MySQL |
HTML |
Python |
Pandas |
NumPy |
Scikit-learn |
Matplotlib |
Seaborn |
TensorFlow |
PyTorch |
