Fatma Nur Azman

My Story

Results-driven Data Analyst & Data Scientist with a strong background in data analysis, machine learning, and predictive modeling across industries like healthcare, finance, and e-commerce. Proficient in SQL, Python, Power BI, Tableau, and AWS, transforming complex data into actionable insights to optimize business decisions. Expert in statistical modeling, feature engineering, and A/B testing, with hands-on experience in developing AI-driven predictive models (achieving 92% accuracy) and enhancing profitability (+15%) and sales performance (+20%). Skilled in data visualization, workflow automation, and end-to-end AI solutions to drive efficiency and strategic impact. Proven ability to streamline processes, optimize resource allocation, and reduce project costs by 15%, delivering measurable business value through data-driven solutions.

Work Experience

• Goldberg Med GmbH, Würselen, GERMANY, Remote

  Data Analyst-Scientist Jan 2024 - Jan 2025

  Revenue and Profitability Analysis: Conducted revenue and profitability analysis using Python, Tableau, and Power BI. Tableau was utilized for identifying high-performing regions through country and city-level analysis, while Power BI revealed trends over time, contributing to a 15% increase in profitability. Developed time series models using ML/DL with 92% accuracy to improve budgeting processes. Deployed AWS and Streamlit-based profitability prediction models, delivering actionable insights for product-level optimization and enabling real-time decision-making.

  Product and Market Analysis: Conducted category-based analysis of listed and sold products using Python and Power BI, identifying trends to enhance product offering strategies. Performed product-level analysis with Tableau, uncovering key regional insights that improved sales performance by 20%. Developed and implemented basket analysis models using Machine Learning (ML) to identify purchasing patterns, enabling targeted cross-selling and upselling strategies. Deployed product analysis solutions on AWS and Streamlit, ensuring accessibility and scalability for business users.

  Customer & Product Strategy Optimization: Conducted customer segmentation and product performance analysis, employing A/B testing to refine marketing strategies. These efforts improved targeted campaign efficiency and boosted customer retention by 20%.

  Chatbot Development: Created a deep learning-based chatbot to provide detailed information on company and medical products, enhancing customer satisfaction by 40%. Implemented NLP techniques for accurate query analysis and deployed the chatbot on AWS, ensuring scalable and reliable performance.

  Computer Vision Projects: Developed a computer vision system to evaluate the weld quality of medical devices, implementing OpenCV-based image processing techniques to improve classification accuracy. Streamlined manual inspection processes by reducing review time by 30%. Optimized production workflows by deploying and integrating the system on AWS seamlessly.

  Healthcare Data Analysis: Conducted Exploratory Data Analysis (EDA) on healthcare datasets to identify key features of colon cancer risk. Developed predictive Machine Learning models with 89% accuracy, utilizing Python for preprocessing, visualization, and modeling to provide actionable insights for early diagnosis. Deployed models using AWS and Streamlit, enabling healthcare teams to access predictions via an intuitive interface.

• NOVA Reklamcılık Dekorasyon A.Ş., Kocaeli, TURKEY

  Cost Analyst March 2023 - Sep 2023

  Cost Trend Analysis for Enhanced Forecasting: Conducted in-depth cost trend analysis, improving forecast accuracy by 20%, enabling better financial planning and resource allocation.

  Automated Reporting Systems: Developed automated cost reporting workflows, increasing reporting efficiency by 25% and freeing up team capacity for strategic initiatives.

• Baybura Moble, Konya, TURKEY

  Project Manager | Interior Architect May 2022 - Dec 2022

  Cost Efficiency Improvements: Collaborated with procurement teams to select cost-effective materials without compromising quality, reducing project costs by 15%.

  Team Coordination and Leadership: Led a multidisciplinary team of designers, contractors, and suppliers, ensuring seamless communication and efficient project execution.

Education

• Kocaeli University

  Interior Designer | 2012-2017

  - Honed my skills in teamwork and Office 365 but also fostered my creativity and design abilities, which are valuable assets for innovative data visualization and creative problem-solving in data analysis projects.

Certifications

• Techproeducation Data science Professional Certificate

  Online | 280 hours | 2024

  - This comprehensive program has enhanced my expertise in advanced data science methodologies and tools, including programming languages such as Python, SQL, machine learning algorithms, data visualization techniques, and big data technologies.

• Google Data Analytics Professional Certificate

  Google | 192 hours | Coursera | 2024

  - Completed 8-course series of training, covering data cleaning, visualization, and analysis with SQL and an introduction to R programming.

• Business Analysis Specialist Certificate Program

  Istanbul Technical University | 60 hours | 2023

  - Gained a comprehensive understanding of the business analysis lifecycle and the entire SDLC, including planning, analysis, design, implementation, testing, deployment, and maintenance.

• Managing Emotions in Times of Uncertainty & Stress

  Yale University | 9 hours | Coursera | 2024

  - Focused on managing emotions and stress in uncertain times, enhancing my ability to maintain performance under pressure.

Technical Skills

• Data Analysis & Visualization: Python, SQL, Power BI, Tableau, Matplotlib, Seaborn
• Machine Learning & AI: Supervised & Unsupervised Learning, Predictive Modeling, Feature Engineering, Hyperparameter Tuning, NLP, Computer Vision
• Deep Learning Frameworks: TensorFlow, PyTorch, Keras
• Deployment & Automation: Flask, Docker, AWS, End-to-End Machine Learning Pipelines
• Database Management: PostgreSQL, DBeaver, Microsoft Dynamics AX, Git, Jira
• Statistical Methods: A/B Testing, KPI Optimization, Statistical Analysis

Soft Skills

• Leadership: Led cross-functional teams on AI-driven projects, improving efficiency by 20%.
• Teamwork: Strong collaboration skills, working with diverse teams to achieve data-driven goals.
• Problem-Solving: Expertise in identifying trends and optimizing processes through data analysis.
• Time Management: Successfully handled multiple projects, reducing workflow inefficiencies by 15%.
• Adaptability: Quick to learn and integrate emerging data technologies into workflows.
• Communication: Proficient in explaining complex data insights to both technical and non-technical stakeholders.