• 🔭 I’m currently working on natural language processing (NLP), machine learning, and data science
• 🌱 I’m currently learning more about NLP, ML, data science, and its applications
• 👯 I’m looking to collaborate on NLP + ML + data science + data analytics + DL + graph embeddings
• 📫 How to reach me: mail

Some Projects:
-pydb: PostgreSQL And Python For Data Science
-ETL: Extract-Transform-Load For Data Science
-Stat und data: Explore data mit Statistics

-pap : Authored papers

To view my authored papers for NLP projects

-String: A tiny machine learning framework
-DSM: Deep-State-Machine: Generative Model for Graph Generation
-GDGM: Gradient Descent Finds Global Minimum
-Explore CORD-19: A Machine Learning Approach for Exploring CORD-19 Scholarly Articles

XML data processing, NLP data pre-processing, feature engineering, text-similarity, text-clustering, text classification, K-Mean, Support Vector Machines, Train-Test-Evaluate Models

-Book Review: Exploring authors and readers in the digital age with AI and data: Analyzing book reviews

NLP data extraction, data transformation, XML data processing, NLP pre-processing, text data analysis, NLP data visualization, descriptive analysis, correlation

-DevInterest: An analysis of developer interest in machine learning

NLP data extraction, data transformation, NLP pre-processing, text analysis, descriptive analysis, topic modeling, LDA, data visualizations

-Patent classification: A deep learning model to classify the patent category

XML data processing, NLP pre-processing, deep learning, text classification, convolutional neural network, recurrent neural network, Train-Test-Evaluate Models