Vagif N.

Key Skills

Software

No software listed

Top Subject Matter

My strongest subject matter areas include Artificial Intelligence

Machine Learning

Data Science

Top Data Types

Image

Top Task Types

Segmentation

Freelancer Overview

I am an aspiring Data Scientist with a background in Computer Engineering and a strong interest in machine learning, artificial intelligence, and data analytics. I have experience working with Python, SQL, Pandas, NumPy, scikit-learn, TensorFlow, and FastAPI through academic and personal projects. I enjoy solving real-world problems by analyzing data, building predictive models, and developing AI-powered applications. I am eager to continue learning and contribute to challenging data science and AI projects.

Labeling Experience

Lead Researcher (Deep Learning) - N/A

ImageSegmentation

I led the research and development of a multimodal deep learning model for earthquake damage detection using Sentinel-2 satellite imagery. I architected and trained a U-Net based system to perform high-precision image segmentation and geospatial analysis. I managed research documentation, including stakeholder communication, ethical AI usage protocols, and technical reporting for a national-level initiative. • Designed a U-Net segmentation workflow for satellite imagery • Performed geospatial analysis to support damage detection outcomes • Managed end-to-end documentation and technical reporting • Applied ethical AI considerations throughout the research lifecycle.

2022 - 2026

Data Scientist - N/A

ImageSegmentation

I developed data-driven clustering and segmentation models to extract actionable insights from raw datasets. I implemented K-Means clustering and RFM segmentation logic using Python to support customer and network analytics. I performed network analysis using centrality measures to identify key nodes and inform more effective optimization strategies. • Applied K-Means clustering for grouping and segmentation • Implemented RFM (Recency, Frequency, Monetary) scoring models • Conducted network analysis with betweenness centrality • Produced analytical findings to guide business-oriented decisions.

2022 - 2026

Education

Work History