Data Scientist

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Description

TensorFlow Github Django Random Forest Git Power BI Moz NoSQL (MongoDB) Classification Figma Flask Hadoop preprocessing Hugging Face Clustering NumPy NLTK Angular HTML5 Docker jQuery Google Analytics Google Search Console R Matplotlib Ahrefs Computer Vision Plotly OpenCV Azure PCA Keras SciPy EC2 RDS) MySQL Deep Learning KNN spaCy CSS3 JavaScript GCP Reinforcement Learning statistical analysis React Scikit-learn Decision Tree evaluation Adobe Analytics Bagging Machine Learning PyTorch PostgreSQL Node.js Google Tag Manager Regression GAN Excel Tableau Data collection Boosting Spark Python AWS (S3 model training Neural Network visualization NLP pandas

Languages: Python, R, JavaScript, jQuery, HTML5, CSS3 Database Systems: MySQL, PostgreSQL, NoSQL (MongoDB) Cloud Services, DevOps & Big Data: AWS (S3, EC2, RDS), Docker, Git, Github, GCP, Azure, Hadoop, Spark Frameworks & Tools: PyTorch, TensorFlow, Angular, Flask, Figma, Django, Tableau, Power BI, Excel, Node.js Libraries: React, Keras, pandas, OpenCV, spaCy, Matplotlib, Scikit-learn, NLTK, Hugging Face, Plotly, NumPy, SciPy AI: Machine Learning, Deep Learning, Neural Network, Computer Vision, NLP, Reinforcement Learning Algorithms: KNN, Random Forest, Decision Tree, Regression, Clustering, Classification, Bagging, Boosting, PCA, GAN AI/Data Science Skills: Data collection, preprocessing, model training, evaluation, visualization, statistical analysis Digital Marketing: Google Tag Manager, Google Analytics, Adobe Analytics, Google Search Console, Ahrefs, Moz