I am a data scientist working as a research officer for many years. I have been working since after graduation on MATLAB-related projects. Mainly dealing with biomedical signals, I have also dealt with prediction, anomaly detection and text analysis project using python. I specialize in machine learning algorithm and doing prediction analysis. I have been doing data visualization and analysis for 5 years. With a diverse background in machine learning, I bring a multi-disciplinary subject together and make use of creativity, technical expertise, and a results-driven mindset to every project I have done. My specialization is in medical data and analysis and I enjoy being thrived on setting out challenging tasks. My 5 years of experience have equipped me with the ability to create unusual approaches to machine learning and predictive analysis models. Whether it's structured data or unstructured data , I've consistently delivered exceptional results by using my unique machine-learning approaches. I ensure that there is no data leakage and that desirable results are obtained for all my projects My skillset include: - Twilio -Whatapp Integration - Beautiful Soup - genism - SHAP - LIME - LDA - transformers -tkinter - Keras - PyTorch - torchvision - Bertopic - NLTK - gradio - JQuery - HTTP Server - CSS - HTML • Flask • Rasa NLU • Rasa core • RasaX • Natural Language Processing • sklearn.preprocessing • sk Learn.model_selection • sk learn. metrics • SK learn • Seaborne • Os • Scipy • pygame • Tkinter • Keras • Scipy • Matplotlib • Pandas • Numpy • SckitLearn • Skimage • Pywavelet • OpenCV • MatPlotlib • Tensorflow • Wavelet Scattering Tool • Fuzzy Logic controller • Deep Learning • Global Optimization Tool • QRS peak detection Analysis Tool • Heart Rate Variability Analysis Tool • Recurrent Quantification Analysis Tool • Point Care Plot • Wavelet Transform The language i had mastered are: • MATLAB • Jupyter • Anaconda Environment • Minitab 20 • R programming • Octave - Python -Google Colab