Being a Financial engineer and avid programmer, I completed a lot of projects in Data analytics, Statistics, ML, DL, AI & Data Extraction in (R, Python); Web Dev (Python, PHP, React.js, Vue.js & node.js); web scraping (JS, R, Python & shell); Finance (stock price prediction); Reports and homeworks using LaTeX. That being said I always aim to fulfil my tasks quickly and provide the best end product to my customer whilst maintaining a good line of communication all along. Fluent in: - Mathematics, Finance. - Deep Learning (CNN, RNN, LSTM, GRU, GANs, Autoencoder, Transformers) using Keras and Tensorflow. - Computer Vision (Opencv, Mediapipe, Openpose). - NLP (TF-IDF). - Time series analysis (SARIMA, GARCH, mGARCH) Stochastic models and simulations. - R : base R functions and the tidyverse family, RSelinium, data.table, etc... - Python : NumPy, Matplotlib, Seaborn, Selenium, Scrapy, Beautiful Soup, requests, streamlit and other libraries. - Javascript : Node.js, React.js (Redux ....) and Vue.Js (Vuex ...) - PHP : Laravel, Symphony. - Shell scripts on Unix like systems (bash, dash, ksh, zsh ...) : Automate processes with simple scripts. - Apple Script : Os X scripts that allow better control over your mac. - Notebooks : Rmarkdown, Jupyter, Google collabs. - Dashboards : R (shiny), python (dash). - Office suite. * RStudio::global(2021) scholar. my github :: [login to view URL] my stackoverflow :: [login to view URL]