Javid H.
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 (EDA)
- 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
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.
Languages
Education
Kiel University of Applied Sciences
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
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