Zeinab Ghaffarnasab

Angestellt, full-stack developer, tamin gostar

Bis 2017, Artificial intelligence, Tehran University

Teheran, Iran (Islamische Republik )

Über mich

I like research and develop and I'm good at this. Currently I'm looking for a job in Germany. At this time I work as a full stack developer in an Iranian company that has big databases in all around my country. Some part of my job is writing microservices based on Spring Boot Application. As another part I research and try to involve new technologies in our project ... Some of this technologies are - Solr - Elasticsearch and Kibana - Messaging tools like Oracle Advanced Queueing and RabbitMQ I used to code in these languages - Java - R - Python - Matlab

Fähigkeiten und Kenntnisse

Solr
Database
Java
JavaScript
RabbitMQ
Redis
R
Elasticsearch
Oracle
Hibernate
Microservices
Kibana
Maven
Python
REST
Unit Testing
Design pattern
Linux
SVN
Regular Expression
self-starter
Spring Framework
Computer Science
Software Development
SQL
Fast learner
Git
Socket Programming
Research and Development
Team work
Oracle DB
Eclipse
Java EE
JDBC
JPA
JavaServer Pages (JSP)
Agile Software Development
MySQL
Tomcat
jQuery
PL/SQL
Application Server
Testing

Werdegang

Berufserfahrung von Zeinab Ghaffarnasab

  • Bis heute 4 Jahre und 8 Monate, seit Okt. 2019

    full-stack developer

    tamin gostar

    Tasks and achievements: • Research and Development (R&D) • Equipping the company system with text-based search using solar database • Transfer some of the server information contained in the Oracle database to NoSql databases such as Solar and Elasticsearch • Designing and executing data transfer queues to keep servers updated, first by the Advanced Queuing tool and then by using the RabbitMQ tool • Design and implementation of a Spring Boot-based Rest project to transfer information between servers

  • 1 Jahr und 9 Monate, Jan. 2018 - Sep. 2019

    Data Scientist, Java and Python Developer

    Zana Pardaz

    Crawling Data from multiple resources and fetch desired text categories, save in solr database and at last fetching trending keywords and displaying using special diagrams ... The base data resources were news sites, feeds, RSS, telegram, instagram and twitter To crawl data from each resources I used multiple strategies, from feeds and RSSs we used java and for social medias we used python and specific python packages. we were indexing text to solr so can query based on text into database.

Ausbildung von Zeinab Ghaffarnasab

  • 3 Jahre und 1 Monat, Sep. 2014 - Sep. 2017

    Artificial intelligence

    Tehran University

  • 4 Jahre und 1 Monat, Sep. 2007 - Sep. 2011

    Computer Science

    Kharazmi University

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Türkisch

    Grundlagen

Interessen

Shopping
Learning
Health food
Coffee
Painting
Book

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