Omer A.

Omer A.

Data Scientist

Turkey
Trusted member since 2022
6 years of experience

Omer has a proven track record of delivering exceptional results. He excels in developing, deploying, and monitoring advanced Machine and Deep Learning models, which have been integral to the success of various customer applications.

His proficiency and commitment to excellence highlight his significant contributions to the fields of data science and machine learning.

Main expertise

NLP5 years
PythonPython5 years
Data Science6 years
Machine LearningMachine Learning5 years
21+

Experience4

Vodafone

Machine Learning Engineer/Data Scientist

Vodafone
Telecommunications
Oct 2023 · 2y 5m
  • Worked with Large Language Models (LLMs), ChatGPT, and applied Prompt Engineering techniques.
  • Implemented Retrieval Augmented Generation (RAG) and developed chatbots using Natural Language Processing (NLP).
  • Performed keyword extraction and keyword matching tasks.
  • Built semantic search solutions and utilized frameworks such as LangChain and FastAPI.
Neo4jNeo4j
NLP
Prompt Engineering
Presify.Ai

Senior Data Scientist/Machine Learning Engineer

Presify.Ai
Artificial Intelligence (AI)
Apr 2022 - Oct 2023 · 1y 6m
  • Implemented time series forecasting models to predict the power generation of thousands of renewable plants for both intra-day and day-ahead markets using LSTM, XGBoost, LightGBM, and Random Forest.
  • Developed anomaly detection algorithms to identify extreme values in time series data.
  • Conducted extensive data preprocessing and feature engineering to enhance model accuracy and scalability.
  • Designed machine learning development and production environments using microservice architecture in Kubernetes clusters and Kubeflow.
  • Deployed machine learning models into production using various strategies such as REST APIs, KServe, BentoML, and containerization tools like Docker and Kubernetes.
  • Monitored and retrained deployed machine learning models continuously using performance metrics and user feedback, making adjustments to meet business requirements.
  • Developed and maintained core microservices for the production environment using FastAPI, Flask, and Node.js.
  • Worked extensively with BERT, LLMs, ChatGPT, fine-tuning, NLP, LLaMa, RAG, the ChatGPT API, LangChain, and Agents.
KubeflowKubeflow
NLP

Data Scientist/Machine Learning Engineer

Titra Technology
Information Technology (IT) and Services
Apr 2020 - Apr 2022 · 2y
  • Processed and analyzed high-dimensional 3D TOF MRA images under the supervision of a radiology group.
  • Developed, optimized, and implemented 3D Vision Transformer, 3D Res U-Net, and 3D Attention U-Net-based deep models and their variants to provide diagnostic assistance for intracranial pathologies like aneurysms and ischemic strokes.
  • Reduced the workload of radiologists and increased diagnostic accuracy for unruptured aneurysms by 10% with the assistance of developed models.
  • Successfully developed and deployed Object Detection and Segmentation models for embedded devices such as UAVs, resulting in increased accuracy and efficiency in aerial surveillance and monitoring operations.
  • Developed custom deployment pipelines and workflows that improved the deployment process of machine learning models, leading to a significant reduction in time-to-production.
Machine LearningMachine Learning

NLP Engineer/Data Scientist

Etiya Technology
Information Technology (IT) and Services
Jun 2018 - Oct 2019 · 1y 4m
  • Used Machine Learning and Statistical Learning techniques to develop robust models for large-scale Turkish and English sentences to tackle complex business problems like sentiment analysis, abuse detection, and chunk extraction.
  • Extensively used RNN, and LSTM to model and analyze the sequential behavior of customers to extract insightful patterns and trends from large and complex datasets to provide meaningful and actionable insights for businesses.
  • Developed, Deployed, and Monitored state-of-the-art sequential Recommender Systems for TV content of Videotron Telecom in Canada
  • Deployed Machine Learning models on AWS EC2 instances using Docker, ensuring high availability, scalability, and reliability of the models.
NLP
Machine LearningMachine Learning

Education

Erciyes University
Erciyes University
Computer Engineering2014 - 2018

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