Javid Hasanov
Research Assistant (Application Project - CHAI)
Experience
Research Assistant (Application Project - CHAI)
FH Kiel & Christian-Albrechts-Universität zu Kiel (CAU)
- Developing an AI-based corrosion detection system for maritime infrastructure as part of the CHAI Research Project.
- Built a binary image classification model to detect corrosion using a dataset of 5,000+ metal surface images.
- Automated data labeling from segmentation masks and designed bounding box generation workflows for individual corrosion areas.
- Conducted data preprocessing, data augmentation, and model evaluation (accuracy, precision, recall, F1-score).
- Collaborated with the research team to integrate computer-vision workflows for corrosion monitoring and dataset enhancement.
Remote Data Analyst
Avrora MMC
- Analyzed a large dataset of 100,000+ records (e.g., sales, customer data) to uncover patterns and trends using Python, Pandas, NumPy, SQL, and Jupyter Notebook for data manipulation and exploratory data analysis.
- Designed and automated data preprocessing pipelines in Python, reducing data-cleaning time by 30% through functions and loops for handling missing values, categorical encoding, duplicates, and outlier detection (IQR, Z-score).
- Generated data visualizations and leveraged statistical methods (e.g., correlation analysis, distributions, hypothesis testing) with Matplotlib and Seaborn to identify actionable insights.
Data Analyst Intern
Kapital Bank
- Queried and analyzed customer transactions using SQL to retrieve and manipulate large datasets.
- Managed and maintained large datasets, ensuring data integrity, security, and accuracy across the bank’s databases.
- Developed and optimized complex SQL queries using JOINs, GROUP BY, subqueries, and CTEs for advanced data aggregation.
- Streamlined data cleaning and executed ETL operations to prepare data for reporting and analytics.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Banking and Finance (1 year), Education (0.5 years), Manufacturing (0.5 years), and Retail (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (1.5 years), Product Development (0.5 years), Quality Assurance (0.5 years), and Research and Development (0.5 years).
Summary
M.Sc. Data Science student at Kiel University of Applied Sciences with a strong background in Computer Science and hands-on experience in data analysis, data engineering, machine learning, and AI. Skilled in transforming raw data into actionable insights through data cleaning, feature engineering, model building, and visualization using Python, scikit-learn, TensorFlow, and XGBoost. Experienced in analyzing large datasets, applying statistical models, and deploying predictive algorithms on cloud platforms such as GCP and Docker. Passionate about applying data-driven approaches to solve complex business and research problems. Open to opportunities as a Data Scientist, Data Analyst, or AI Developer within innovative, analytics-driven teams.
Skills
- Programming & Data Tools: Python, Sql, R (Basic), C/c++, Shell Scripting (Basic)
- Machine Learning & Ai: Supervised & Unsupervised Learning, Deep Learning (Cnns, Transfer Learning), Feature Engineering, Model Evaluation, Regression, Classification, Clustering, Pca, Hypothesis Testing
- Computer Vision: Image Processing, Object Detection (Mobilenetv2, Yolov8), Opencv, Image Segmentation, Data Augmentation
- Data Visualization & Reporting: Matplotlib, Seaborn, Plotly, Power Bi, Excel Dashboards
- Frameworks & Libraries: Numpy, Pandas, Scikit-learn, Tensorflow, Keras, Pytorch, Xgboost, Lightgbm
- Databases & Big Data: Mysql, Postgresql, Bigquery (Basic), Etl Pipelines (Basic)
- Cloud & Devops: Google Cloud Platform (Gcp), Docker, Cloud Functions (Basic)
- Development & Collaboration Tools: Jupyter Notebook, Vs Code, Pycharm, Git, Github, Microsoft 365
Languages
Education
Kiel University of Applied Sciences (FH Kiel)
Master’s Degree · Data Science · Kiel, Germany
Azerbaijan State Oil and Industry University
Bachelor’s Degree · Computer Science · Baku, Azerbaijan
Certifications & licenses
Web Development (Certificate Program)
CodeForFuture
Profile
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