• I have +1 year Experience in the Field of Data Science , Machine Learning , Deep Learning , Computer Vision , NLP , Data Analysis and Data Visualization. • I have taken both academic and practical courses in these fields , So you can expect a solid Mathematical foundations, Software Engineering background and hands-on experience. • I can perform any Data Science Task , No matter how complicated it is , I just need more time for more complex ones. • I eager to learn new technologies , have new challenges and get the perfect solutions. • I am looking forward to have a good work relationships with clients, So I do my best to provide them with the best solutions for the tasks , all adjustments they need and free technical support all the time. • Technologies: ? Data Cleaning ? Exploratory Data Analysis ? Feature Engineering ? Principle Component Analysis ? T-SNE ? Machine Learning ? Linear and Non-Linear Regression Analysis ? Support Vector Machine ? Decision Tress ? Random Forests ? Gradient Boosting Machines ? Deep Neural Networks ? Convolution Neural Networks (CNN) ? Recurrent Neural Networks (LSTM,GRU) ? Word Embeddings (Word2Vec, Glove) • Tools: ? Python ? Scikit-learn ? Pandas ? Numpy ? Seaborn ? Matplotlib ? Plotly ? Tableau ? Keras ? Tensorflow ? Pytorch ? C/C++ ? Matlab ? SQL (Postgresql , MySql)