8+ years IT industry work experience in designing, building and implementing analytical and enterprise application
*Languages:* Python, R, JavaScript, HTML, CSS, Matlab
*Machine Learning techniques:* Regression, Clustering, Decision Trees, Classification, Ensembles, Recommendation systems, Association Rules, Natural language processing,
Computer Vision
*Machine Learning Models:* Linear regression, logistic regression, Naïve Bayes, SVM, Decision tree, Neural networks
*Machine Learning Optimization Algorithms:* Gradient descent, Stochastic Gradient Boosting, Fuzzy Logic, Adaptive Neuro-Fuzzy
*Deep Learning Models:* Deep Neural Network, Regularization, Convolutional Neural Network, Recurrent Neural Network, Transfer Learning
*Machine Learning Packages:* Scikit-Learn, Statsmodels, Pandas, NumPy, Seaborn, Matplotlib, Xgboost, NLTK, SparkML, TensorFlow, Keras, OpenCV.
*Cloud:* AWS, EC2, S3, Google Cloud, IBM Cloud, Heroku, Python Anywhere
*Development Tools:* Jupyter notebook, PyCharm, Visual Studio Code, SPYDER, Atom, Google Colab
*Visualization Tools:* Matplotlib, Seaborn, Tableau, Plotly, D3, Excel, ReportLab
*Operating Systems:* Linux, Ubuntu, Windows.
*Databases:* MySQL, PostgreSQL, MongoDb
*Web Technologies:* Flask, Django
*Web Server:* Apache 2 and NGINX