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RabiaİnciEryılmaz

Data Analyst | Statistics · SAP & Retail Operations · AI-Powered Analytics & Automation

I read operational data together with the business processes behind it, turning recurring issues, trends and improvement areas into analysis that supports decisions.

About Me

I'm a data analyst with a degree in Statistics. My experience in retail operations and SAP ERP lets me evaluate data not only technically but together with the business processes behind it. I identify recurring issues, trends and improvement areas in operational data and turn them into analysis that supports decision-making. I actively use Python, machine learning and LLM-based tools for data analysis, modeling, automation and prototyping. With AI-assisted development tools such as Claude Code and OpenAI Codex, I turn analysis ideas into working applications, reporting tools and data pipelines.

Experience

IT Operations Specialist

BİM Birleşik Mağazalar A.Ş. (BİM & FİLE)

Sep 2025 – Present
  • Processed SAP help desk records with Python to analyze error density, recurring issues, resolution times and seasonal trends by module, region and user group
  • Classified free-text fields such as request descriptions with LLM-based methods to surface issue patterns hard to spot manually; consolidated findings into a comparative, filterable reporting screen
  • Provide first-level support across SAP SD, FI, MM and EWM; prioritize and resolve requests, and escalate complex issues to business analysts with root-cause notes
  • Findings led to ABAP and module fixes, improved screens, targeted trainings and documentation; help desk requests decreased in several regions

Business Analyst Intern

Koçtaş

Sep 2024 – Jun 2025
  • Analyzed stock inconsistencies in SAP ERP and EWM and managed corrective actions, preventing warehouse disruptions and improving inventory accuracy
  • Resolved system errors in goods receipt and issue via the ticketing system, keeping operations running without interruption
  • Monitored ERP integrations between sellers and carriers, identified disruptions and resolved them with relevant teams, improving delivery continuity
  • Analyzed frequently used SAP screens and proposed usability improvements, reducing repeated transaction errors

Data Science Project Intern

Yıldız Technical University

Mar 2023 – Sep 2023
  • Supported a research group on an automated housing valuation project aiming to estimate property value without an on-site appraisal
  • Cleaned and prepared housing data in Python, compared regression models and presented visualized results to the academic team

Skills

Data Analysis & Statistics

Python (pandas, NumPy, SciPy)SQL (JOIN, GROUP BY)Exploratory Data AnalysisData Cleaning & PreprocessingHypothesis Testing (chi-square, ANOVA)RegressionClusteringTrend AnalysisKPI ReportingExcel

Machine Learning

scikit-learnXGBoostRandom ForestEnsemble MethodsModel Evaluation (ROC-AUC, F1)Hyperparameter OptimizationFeature Engineering

AI-Powered Development & Automation

Claude CodeOpenAI CodexLLM-based Data & Text AnalysisAI-Assisted CodingRapid PrototypingAutomation & Data PipelinesREST API Integrations

SAP & Business Analysis

SAP ERP (SD, FI, MM, EWM)Root Cause AnalysisRequirements AnalysisProcess ImprovementTicket/Request ManagementAgile/Scrum

Visualization & Tools

matplotlibseabornPlotlyStreamlitGit & GitHubJupyter NotebookVS CodeVercel

Languages

Turkish — NativeEnglish — B1

Projects

Insurance Quote Acceptance Prediction

2024 – 2025
Machine Learning & Web App
  • End-to-end classification study predicting acceptance probability on 19,000+ motor insurance quotes, with separate models for individual and corporate customers
  • Optimized Logistic Regression, Random Forest and XGBoost and combined them in an ensemble; reached ROC-AUC 0.76 in the individual segment
  • Interpreted how variables such as price sensitivity and renewal behavior relate to quote acceptance from a business perspective
  • Published the work as a Streamlit web application
End-to-End ML ProjectGitHub

Psychological Effects of Digital Gaming Habits — Bachelor's Thesis

2025
Academic Research · Statistics
  • Designed and ran an online survey with 252 participants aged 12–67
  • Examined factors related to psychological state using correlation analysis, ANOVA with post-hoc tests, multiple linear regression and clustering
  • Yıldız Technical University, Department of Statistics
Bachelor's ThesisGitHub

Breast Cancer Classification

2024
Machine Learning
  • Exploratory data analysis (EDA) on the Breast Cancer dataset
  • Applied Logistic Regression, KNN, CART and Random Forest and compared their performance
ML Classification StudyGitHub

Spotify API Data Analysis

Dec 2023
API & Data Analysis
  • Collected data via Spotify API integration
  • Structured data in DataFrames and performed exploratory analysis
  • Generated popularity insights with visualizations
Case StudyGitHub

Certifications

Google · Coursera

Foundations: Data, Data, Everywhere

Aug 2025

SISTERLAB / Ada Lovelace Academy

Data Science Academy

2023 – 2024

DataCamp

Introduction to Python

Aug 2023

Udemy

Algorithm Development and Programming

Feb 2022

Education

Yıldız Technical University

Bachelor's degree, Statistics

2022 – 2025

Yıldız Technical University

Bachelor's degree, Biomedical/Medical Engineering

2019 – 2022

Contact Me