Position: Machine Learning Engineer / Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

Accomplishments:

** AWS Machine Learning Certification 
** Earned Master’s degree in ITM (Innovation Technology Management) from University of Tartu
** Certified TensorFlow Developer
** Ex Visiting Researcher CSB Group at University of Cambridge
** Winner of "The Open Data Hackathon for Municipalities"
** Top achiever in Kaggle Data Competition Awarding institution: E-GOV Development Center
I am an AWS Machine Learning Certification holder and Certified TensorFlow Developer, which provide me with qualifications to implement deep learning solutions for given business problems.

My work experience has given me the opportunity to work on projects involving machine learning and deep learning algorithms. Over the projects I have worked on, I have gained tremendous experience in writing production-grade software and implementing ML pipelines in production. 

Highlighted projects:

* mT5 based Azerbaijani News Summarization;
* New product demand forecasting via Content based learning for multi-branch stores;
* Building face liveness detection engine for spoofing face recognition;
* Automating Customer Support with NER (Named Entity Recognition) in the Azerbaijani language;
* Developing session-based recommendation system for e-commerce website;
* Satellite Images to real maps with Pix2Pix generative adversarial network;
* Norvig's Spell Checker Algorithm for Azerbaijani Language;
* Detecting Weapon Objects by using one-stage object detection model;
* Predicting Credit Card Fraud by using AWS Random Cut Forest;
* Tacotron-2 text-to-speech Tensorflow implementation;
* Generate Synthetic Images with DCGANs in Keras;
* Scraping Azerbaijani real estate website and sending whatsapp message with AWS Lambda
* Clustering: Opening a New Restaurant in Baku;
* Applying perspective transformation and homography to build OCR engine and etc.
To utilize a larger array of ML/Data science tools and face a variety of issues to grow professionally and become a senior level ML engineer.