Web data extraction using unstructure data

Hello, I'm a back-end developer with wide experience in Python and noSQL databases. I'll be retrieving this data for you using Beautiful Soup an storing it on MongoDB with no issues. 100% code quality and consistence guaranteed. I'm ready to start immediately and I'm waiting for your reply!!

Hi there, Hope you're doing well! I've gone through your project Web data extraction using unstructure data. My interests are machine learning, Deep Learning, computer vision, and Data Analyst. I have very good experience in Python, Pandas, Numpy, Matplotlib, OpenCV, Tensorflow, Keras, and PyTorch Django & Flask. What we do: ✓ Machine Learning ✓ Data Science ✓ Data Analysis ✓ Detection and Recognition ✓ Semantic and instance Segmentation ✓ Object Detection and Classification ✓ Text Recognition ✓ Clustering ✓ Regression Analysis ✓ Time Series Analysis ✓ Reinforcement Learning ✓ Model Deployment ✓ Django & Flask ✓ Tkinter & PyQt5 Hands on: ✓ Time series analysis, ✓ Data analytics, EDA and feature engineering ✓ Pattern / trend recognition, hypothesis verification ✓ Multi-class Classifications with complex correlations, ✓ Multi-variate Regression or non-linear regression problems, ✓ Support Vector Machines (SVM), ✓ K-Means Clustering, ✓ Principal Component Analysis (PCA), ✓ Neural Networks (CNN, RNN, bi-directional LSTM), ✓ Recommender Systems, ✓ Natural Language Processing, ✓ Computer vision Tools and libraries: ✓ PowerBI, ✓ Pandas, ✓ NumPy, ✓ Scikit-learn, ✓ Scipy, ✓ Matplotlib, plotly, Seaborn ✓ MATLAB, ✓ GCP, AWS, Azure ✓ Jupyter notebook ✓ TensorFlow, ✓ Keras, ✓ PyTorch, ✓ fastAI Programming languages ✓ Python, I also have good research experience that allows me to understand and implement state-of-the-art machine learning models and use it for new applications. Your reply to this message will be appreciable. Thanks.

I have 4years experience in python programming and web scraping. Am capable of scraping any website be it static or spa. Given a chance i will accomplish this task in 2 days