Sumaiya Suravee

Task includes : 1. To conduct literature research of several optimizers for Natural Language Processing (NLP) tasks such as Named Entity Recognition(NER) system. 2. To implement several optimizers such as Stochastic gradient descent, Adam, Nadam, Ranger, etc and to analyze the performance of optimizer based on Name Entity Recognition(NER) system.

1. Evaluated and improved the performance of Named Entity Recognition model(BLSTM-CNN-CRF) in Tensorflow. 2. Worked for word representation by using Word2Vec, Glove embedding with Conll2003 dataset.

The start-up is located at the Universität Rostock and focused on creating a "Personal Intelligent Assistant (PIA)" based on Artificial Intelligence . I worked on a project of "Automatic Face Detection for Video-based Intention recognition" under the Supervision of Dr.-Ing. Kristina Yordanova. The task was to identify and recognize faces from given images and videos using deep learning-based algorithms, which can be used further to recognize the intention of the persons.

Identify, implement and resolve problems of internal and external ad campaigns in cooperation with the technical teams.  Verify technical specifications, service and troubleshoot rich media ads.  Prepare reports and post-campaign analysis for the advertisers on a weekly basis.  Generate and integrate HTML by using client platform.  Data analysis of the advertising industry (completed views, IAB Viewable Impressions metric, etc.)