Data Scientist | Machine Learning Engineer | MLOps Specialist

Machine Learning and Data Science
Extensive experience in developing and deploying machine learning models, including NLP solutions, computer vision applications, and recommendation systems.

Programming and Tech Stack
Proficient in Python, with expertise in various frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas. Experienced with cloud platforms and MLOps tools.

Data Processing and Analysis
Strong skills in data processing, exploratory data analysis, and feature engineering. Capable of working with large datasets and implementing scalable solutions.

Natural Language Processing (NLP)
Experience in developing NLP solutions for various domains, including translation and sentiment analysis. Proficient in using advanced NLP methods and large language models (LLMs).

MLOps and Cloud Technologies
Skilled in MLOps practices, including designing and implementing scalable Airflow pipelines and working with Kubernetes. Familiar with cloud platforms like Azure AI Studio.

Deep Learning and Neural Networks
Expertise in deep learning techniques, including working with Transformers and Graph Neural Networks. Capable of implementing and fine-tuning complex neural network architectures.

Data Visualization and Business Intelligence
Proficient in creating data visualizations and dashboards using tools like Grafana. Able to translate complex data insights into actionable business intelligence.