Giorgi B.

Data Scientist

Giorgi er en erfaren senior datas Scientist med seks års erfaring, spesialisert i HR-teknologi, skybaserte POS-systemer, SaaS, skycomputing, eCommerce og AI-teknologi.

Giorgi har bemerkelsesverdig implementert naturlig språkbehandling for å forbedre ansettelsesprosesser og forbedre medarbeider-referanser ved å matche jobbkrav med egnede kandidater. Dette initiativet optimaliserte i betydelig grad ansettelsesoperasjoner og forbedret henvisningsprosessen.

Gjennom sin karriere har Giorgi hovedsakelig jobbet i Georgia, og bidratt betydelig til prosjekter i USA, Storbritannia og De forente arabiske emirater gjennom fjernengasjement.

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

Georgia

Kom i gang

Utvalgt opplevelse

Arbeidserfaring

  • ML Engineer with focus on NLP tasks

    LA Holding GmbH (via Proxify) - 2 months

    • 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 years

    • 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 months

    • 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

Utdannelse

  • MSc.Computer Science

    Tbilisi State University · 2021 - 2024

  • BSc.Computer Science

    Tbilisi State University · 2015 - 2019

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