Ayse Yaman

Tıkla Gelsin

Acıbadem Health Group (Life Club)

Alivi Health Group

İnci Akü

• Managed extensive datasets with MS SQL, enhancing data integration and real-time processing using Python and Spark.
• Conducted comprehensive data cleaning, transformation, and extraction tailored to organizational data structures to enhance data integrity and usability.
• Led exploratory data analysis and advanced modeling initiatives, deriving insights that informed critical business decisions. Optimized MS SQL database performance through strategic use of indexing, partitioning, and query optimization techniques, significantly enhancing handling of large datasets.
• Developed and maintained scalable data pipelines, integrating MS SQL with Python, Spark, and Hadoop to ensure seamless data workflows across platforms.
• Designed and implemented automated jobs and tasks using SQL Server Agent, reducing manual effort and boosting process efficiency.
• Applied sophisticated statistical and machine learning methods including regression models, recommendation engines, association rules, sales prediction, and A/B testing to drive data-driven strategies.
• Performed RFM analysis, customer segmentation, cohort analysis, and churn analysis to support targeted marketing efforts and customer retention strategies.
• Directed various analytical projects across retail and healthcare sectors, focusing on payment systems and loyalty programs to enhance customer engagement and profitability.
• Managed complex SQL queries and procedures, improving database functionality and user experience.
• Utilized a broad array of Python libraries (NumPy, Pandas, Scikit-learn, SciPy) for data manipulation, EDA, and preprocessing tasks.
• Created insightful data visualizations and interactive dashboards using Matplotlib and Seaborn; trained deep learning models using Keras and TensorFlow to further business intelligence.
• Developed recommendation engines tailored to both health and retail sectors, enhancing personalized customer experiences.

• Conducted exploratory data analysis and statistical modeling, leveraging large datasets and enhancing data management capabilities with MS SQL, Python, DAX, and Access.
• Produced comprehensive analytical reports by monitoring existing KPIs, detecting anomalies, and generating new KPIs to guide business strategies.
• Automated key data management tasks using SQL Server Agent, significantly improving system efficiency and reducing manual labor.
• Utilized data mining, statistical algorithms, and optimization techniques to uncover patterns in data, enhancing the meaningfulness and applicability of analytical results.
• Implemented advanced statistical and machine learning techniques, including regression models, sales predictions, and A/B testing, providing strategic insights to drive business decisions.
• Engaged in complex query handling and ad-hoc analysis, supporting critical analytical needs across various departments.
• Conducted thorough customer segmentation, association rule mining, and cohort analysis to tailor marketing efforts and improve customer engagement strategies.
• Maintained clear and concise documentation of analytical processes and findings, ensuring knowledge transfer and collaboration within the team.

Writing contents related data science, machine learning and sharing codes or queries about it.

miuul.com/ayse-yaman

• Sorting & Scoring Problems
• Dynamic Pricing
• AB Testing
• KPI & Cohort Analysis
• Customer Segmentation / RFM Analysis / CLTV
• Association Analysis
• Recommendation Systems
• House Price Prediction Models
• Unsupervised Machine Learning (K-Means, PCA, Hierarchical Cluster Analysis)
• Time Series with Machine Learning Algorithms
• Time Series (Holt Winters, Statistical, Machine Learning Approach)

The firm that known biletbayisi.com is online fight ticket sales platform.

• Utilized advanced statistical methods for sales analysis, categorizing data by demographic factors and enhancing strategic business planning.
• Following and forecasting passenger habits, creating dashboards by observing the passenger population.
• Planning of personel sales target. Following links are reports that I've written about passengers' behaviour and percentage of sales.

https://www.aa.com.tr/tr/ekonomi/100-kisiden-80i-ucak-biletini-internetten-aliyor/1096050