Joshgun Guliyev

• Created stochastic estimation framework with Deep Learning and probabilistic machine learning for the EU logistics network of Amazon which has 15M EUR cost-saving potential. It was reducing the run time of the optimization process and enabling to evaluate 10K changes less than 1 second with more than 95% accuracy. • Machine Learning and Optimization with Python and AWS. • • Handling huge amounts of data and variables, and creating data-light predictive models to optimize the delivery network.

• Developed deep learning framework for text classification by using Glove embeddings, Tensorflow, and Scikit-Learn. • Built and deployed autoencoder-decoder framework for anomaly detection by using Tensorflow, increased performance from 84% to 92%. • Fine-tuned and customized pre-trained NLP models (T5, BERT, GPT) for text summarization with HuggingFace, Pytorch. • • Built a depth-wise web-scrapping tool by using Beatifulsoup and Selenium.

• Created dashboards and reports to present and explain trends in production data in the project management team by Tableau, Power BI. • Providing predictive analysis, A/B testing, and preparing statistical and analytical reports for PMs with R and Python. • • • Assisting PMs with predictive analysis, optimization in the time and cost objective, and planning.

• Data cleaning, statistical analysis of data, supply chain analytics. • Performed predictive modeling, data-driven forecasting, and Data analytics using Python, R, and Tableau. • • Implemented different machine learning algorithms for time-series forecasting including RNN, LSTM, and other classical ML algorithms.