Giorgi B.

Data Scientist

Giorgi er en erfaren Senior Data Scientist med seks års erfaring, der har specialiseret sig i HR-teknologi, cloud-baserede POS-systemer, SaaS, cloud computing, e-handel og AI-teknologi.

Giorgi har især implementeret naturlig sprogbehandling for at forbedre ansættelsesprocesser og forbedre medarbejderhenvisninger ved at matche jobkrav med egnede kandidater. Dette initiativ optimerede ansættelsesprocessen betydeligt og forbedrede henvisningsprocessen.

Gennem hele sin karriere har Giorgi primært arbejdet i Georgien og bidraget væsentligt til projekter i USA, Storbritannien og De Forenede Arabiske Emirater gennem fjernengagementer.

Hovedekspertise
  • Scrapy
    Scrapy 5 år
  • Selenium
    Selenium 5 år
  • Data Science 6 år
Andre færdigheder
  • AWS S3
    AWS S3 5 år
  • DevOps
    DevOps 5 år
  • Data Engineering 5 år
Giorgi
Giorgi B.

Georgia

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Beskæftigelse

  • ML Engineer with focus on NLP tasks

    LA Holding GmbH (via Proxify) - 2 måneder

    • Developing and implementing NLP (Natural Language Processing) models.
    • Utilizing Python for machine learning and data processing tasks.
    • Working with TensorFlow and PyTorch for model development and training.
    • Implementing machine learning solutions on AWS, using services like EC2 and S3.
    • Managing databases with PostgreSQL.
    • Building APIs using FastAPI for application integration.
    • Handling asynchronous tasks with Celery.
    • Integrating and leveraging the ChatGPT API for advanced NLP functionalities.
    • Employing RabbitMQ to handle message queuing requirements.

    Teknologier:

    • Teknologier:
    • AWS S3 AWS S3
    • ChatGPT API ChatGPT API
    • Python Python
    • PyTorch
    • RabbitMQ RabbitMQ
    • Celery Celery
    • PostgreSQL PostgreSQL
    • NLP
    • AWS AWS
    • AWS EC2 AWS EC2
    • FastAPI FastAPI
    • TensorFlow TensorFlow
    • Machine Learning Machine Learning
  • Senior Data Scientist

    Intrro - 5 flere år

    • Implemented neural language processing techniques to optimize the hiring process and improve employee referrals by matching job requirements with suitable candidates from employee LinkedIn contacts.
    • Trained and deployed deep learning models to enhance the accuracy and efficiency of data-driven decision-making in the employee referral program.
    • Conducted data scraping and processing to curate relevant datasets for training deep learning models, contributing to the development of sophisticated algorithms and solutions for talent acquisition.
    • Proficiently deployed Python services using Flask, FastAPI, Celery, RabbitMQ, and Cronjobs for seamless integration and process automation.

    Teknologier:

    • Teknologier:
    • Neo4j Neo4j
    • AWS S3 AWS S3
    • ChatGPT API ChatGPT API
    • DevOps DevOps
    • Scrapy Scrapy
    • Selenium Selenium
    • Python Python
    • ElasticSearch ElasticSearch
    • Flask Flask
    • PyTorch
    • RabbitMQ RabbitMQ
    • Celery Celery
    • Scikit-learn Scikit-learn
    • MongoDB MongoDB
    • NLP
    • AWS AWS
    • Google Cloud Google Cloud
    • Team leading
    • FastAPI FastAPI
    • REST API REST API
    • API
    • Scrum Scrum
    • Agile Agile
    • Jira Jira
  • Data Scientist

    Franpos - 6 måneder

    • Leveraged deep learning frameworks such as PyTorch and TensorFlow to engineer advanced algorithms that accurately identified and tracked customers, thereby enhancing the overall customer experience within the cloud-based POS and business management system.
    • Adeptly managed databases using PostgreSQL and MS SQL to store and retrieve crucial data, ensuring data integrity and efficient access.
    • Demonstrated a dynamic combination of computer vision engineering, Python development, and machine learning expertise at Franpos, resulting in a robust facial detection and tracking system within the cloud-based POS and business management system.
    • Trained and deployed deep learning models to enhance accuracy and efficiency in data-driven decision-making for the employee referral program.
    • Conducted data scraping and processing to curate relevant datasets for training deep learning models, contributing to the development of sophisticated talent acquisition algorithms and solutions.
    • Proficiently deployed Python services using Flask, FastAPI, Celery, RabbitMQ, and Cronjobs for seamless integration and process automation.

    Teknologier:

    • Teknologier:
    • Scrapy Scrapy
    • Selenium Selenium
    • Python Python
    • ElasticSearch ElasticSearch
    • Flask Flask
    • SQL SQL
    • PostgreSQL PostgreSQL
    • MySQL MySQL
    • Computer Vision
    • FastAPI FastAPI
    • REST API REST API
    • API
    • TensorFlow TensorFlow
    • Scrum Scrum
    • Agile Agile
    • Jira Jira
    • Machine Learning Machine Learning
    • Azure Azure

Uddannelse

  • MSc.Computer Science

    Tbilisi State University · 2021 - 2024

  • BSc.Computer Science

    Tbilisi State University · 2015 - 2019

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