Iyad A.

2 / 2 As a Data Scientist with in-depth statistical knowledge and a demonstrated history of working with big data, machine learning, and predictive modeling and analysis, I am passionate about providing data and analytics-driven solutions to business challenges. I hold a Master's degree focused on Statistics and Data Science, and have strong engineering skills to complement my knowledge in the field. With advanced statistical/machine learning programming skills in R, Python, Spark, Hadoop, Data Modeling, and Data Mining, I can help organizations gain valuable insights from their data. In particular, I have the following technical skills: ✅ Advanced programming skills in R, with expertise in data visualization using ggplot2, data wrangling/manipulation using dplyr, and data extraction from various sources including web scraping, excel files, and csv files. I am also proficient in parallel data processing using Sparklyr library (R interface to Apache Spark™). ✅ Advanced programming skills in Python, with expertise in data visualization using Seaborn (a Python data visualization library based on matplotlib), and data wrangling/manipulation using Numpy and Pandas. ✅ Experience in Deep Learning using TensorFlow and Keras, Machine Learning Algorithms (classification problem, regression analysis, cluster analysis, models evaluation and model testing), and Natural Language Processing (NLP). ✅ Ability to debug, fix, and write code for your needs. I am excited to collaborate with organizations that seek to leverage their data for informed decision-making. Let's work together to turn your data into actionable insights!