First author of two machine learning articles focused on classification and prediction. Skilled in Python, C++, SQL, and statistical methods, with practical experience in Deep Learning, Natural Language Processing (NLP), and data visualization.
Frameworks
🛠️ Data Preprocessing: Numpy, Pandas, Pyspark.
🤖 Machine Learning and Deep Learning Implementation Framework: Scikit-Learn, Tensorflow, PyTorch.
📚 Natural Language Processing: BERT.
📊 Data Visualization: Matplotlib, Seaborn, Tableau, Power PI.
☁️ Cloud Services: AWS, Google Colaboratory, Kaggle kernel.
💻 Intergrated Development Environment: Jupiter-Notebook.
📄"Harmful Videos Classification for Safer Online Social Network." International Conference on Intelligence of Things (ICIT), 2024.
📄 "Analyze the Influence of Features Extracted from Audios on the Results of IELTS Speaking Test." International Conference on Advanced Technologies for Communications (ATC), 2024.