I am passionate about data with a strong focus on artificial intelligence, dedicated to extracting insights from data and developing AI-driven solutions for real-world projects. Welcome to my GitHub profile!
- Participated in a Kaggle competition focused on predicting levels of problematic internet usage among children and adolescents.
- Developing an emotion detection project utilizing deep learning models for accurate sentiment analysis.
- Leveraging machine learning techniques to identify patterns in cryptocurrency markets.
- Mathematical and Practical intution of advance models like GAN's.
- Unsupervised Learning techniques
- Programming & databases: Python, SQL, MySQL
- Machine Learning & Deep Learning: Random Forest, Xgboost, ANN, CNN, RNN, LSTM
- Data Science & Statistical Analysis: ETL, Data Pipelines, EDA, Hyperparameter Tuning, Descriptive & Inferential Statistics,
- Tools & Frameworks: Scikit-Learn, Pytorch, Seaborn, Plotly, Streamlit, AWS
