I am a computer programmer by profession, with a deep passion for computer science. The service I offer includes Artificial Intelligence Problem Solving, Machine Learning, Deep Learning, Neural Networks, Data Analysis, Statistical Analysis, Web Application, Cryptocurrency Forecast, Financial Analysis, Econometrics, Prediction Modelling, Data Visualization, Web3, Solidity Contract, Face Recognition, Cryptography and Research Writing. I build a fully automated prediction model application program using both machine learning algorithms and neural networks. The approach I use involves, A non-deep learning approach and a deep learning approach. Each prediction maintains a high level of accuracy from 85% to 95%, which is evaluated using a confidence ranking score generated for each prediction algorithm. I use machine learning and neural networks to build accurate models that predict future business productivity performance using previous historic data. The Machine learning algorithms I use frequently includes, Random Forest, Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, kNN, K Means, Gradient Boosting algorithm XGBoost. For Deep Learning Approach, I use Neural Network. For Cryptocurrency price forecast, I utilize Facebook prophet algorithm, Python, LSTM RNN. For Image recognition, I use OpenCV and TensorFlow. My proficiency and experience includes; Data science, predictive model building, model cross-validation, and improvement, statistical analysis, web applications, data analysis, machine learning (deep learning), cryptocurrency price forecast, computer security, face recognition model, data visualization, neural network, web3, solidity contract and research writing. My programming tools Includes, RStudio, SAS, SPSS, Python, Microsoft Excel VBA Macro, Pine script, C programming, C++, C#, Java, Rust programming, My SQL, PHPMyAdmin, PHP, HTML, CSS, XAMPP, React js and TypeScript.