Faisal A.

With a robust foundation in electrical engineering, mathematics and a profound passion for data science, I merge technical expertise with a deep understanding of mathematical principles to excel in the field of deep learning. My proficiency in deep learning is rooted in my strong grasp of mathematical concepts, enabling me to develop and implement sophisticated algorithms and models. I have extensive experience conducting research and optimization to refine models and improve accuracy, utilizing advanced analytical techniques to solve complex problems efficiently. This skill set allows me to enhance decision-making processes and deliver innovative solutions tailored to specific project needs. Programming Languages: Python, Matlab, R, Tools: Matlab, Visual Studio, Jupyter Notebook, SPSS, Rstudio Project Listing: Electircal Load Forecasting Covid-19 Prediction Crime Dataset Analysis Gender Features Dataset Analysis Optimization with Matlab Ant colony optimization Time series analysis for sales forecasting Neural Network Development with Matlab 3d Unet medical image segmentation LLMs analyzer Single Neuron Algorithm for capturing buy sell signals Price prediction and forecasting with LSTM AI integration with the repository Price prediction or trading algorithm research and development with Neural Networks Signal and Image Processing KNN, decision tree and Random Forest on Matlab Development of the Execution Strategy model on SPY ETF data Anomaly Detection and 30+ time series forecasting and evaluation model like ARIMA, ETS, Auto ARIMA, SARIMAX, Prophet, Prophet with Holiday, TBATS, Theta, Causual Impact and CES Data Scraping: Yahoo Finance, Alpha Vintage, Polygon API, FRED APIs, CoinMarketCap and Data.gov Skills: Programming, Mathematics, Statistics, Problem Solving, Machine learning, Deep learning, Time series analysis, time series forecasting and electrical engineering