Welcome to my profile! I am a data scientist with extensive experience in Python programming language, specializing in machine learning, deep learning, and data analysis. Skills and Expertise: - Machine Learning: I have a strong background in machine learning techniques and algorithms. I am proficient in implementing and applying various supervised and unsupervised learning algorithms such as linear regression, decision trees, random forests, support vector machines (SVM), k-nearest neighbors (KNN), clustering algorithms, and more. - Deep Learning: I possess a solid understanding of deep learning frameworks such as TensorFlow. I am skilled in developing and training deep neural networks, including convolutional neural networks (CNNs), and recurrent neural networks (RNNs). I have experience in working with pre-trained models, transfer learning, and implementing state-of-the-art architectures for various tasks like image classification, object detection, natural language processing, and more. - Data Analysis: I have a strong foundation in data analysis and statistical techniques. I am proficient in working with large datasets, cleaning and preprocessing data, performing exploratory data analysis (EDA), and extracting meaningful insights. I am experienced in using libraries such as pandas, matplotlib, seaborn, and NumPy, for data manipulation, statistical analysis, and visualization. - Web Scraping: I have expertise in web scraping, which involves extracting data from websites using Python libraries like requests-html . I can collect structured data from various sources, including e-commerce websites, social media platforms, and online forums.. As a data scientist, I am committed to applying my expertise and knowledge to extract valuable insights from data, build predictive models, and drive data-backed decision making. I thrive in challenging environments and enjoy tackling real-world problems using innovative data science techniques.