Şenol YILDIZ

Data Scientist

https://talent.gravityer.com/senol-yildiz

I am an industrial engineer with a keen interest in the latest developments in innovative data analytics and machine learning technologies.

Sakarya University

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with SQL for data analysis and customer segmentation (RFM Analysis).
Familiarity with Machine Learning for classification tasks (Churn Prediction, Diabetes, Scoutium).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on data analysis and machine learning, which aligns with a Data Scientist role. The diversity of projects (finance, e-commerce, sports, healthcare) indicates a broad interest in applying data science across different domains. However, the experience level is listed as 0, and the only listed 'experience' is a future role, which suggests a very early career stage. This might impact cultural fit in a senior role requiring significant industry experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test results.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Digital_Customer_Onboarding_and_Instant_Credit_System

January 23, 2026 – Present

Şubesiz bankacılık vizyonuyla; potansiyel müşterilerin mobil uygulama üzerinden NFC/OCR teknolojileriyle kimlik doğrulayıp, saniyeler içinde kredi kullanabildiği uçtan uca (End-to-End) dijital finansal ürün tasarımı.

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Google_Advanced_Data_Analytics_Automatidata_Activity

April 22, 2025 – April 24, 2025

Google Advanced Data Analytics courses activity projects with Automatidata

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Northwind_Data_SQL_Case_Study

January 22, 2025 – January 22, 2025

Northwind Datası ile SQL Query Alıştırması

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RFM_Analysis_with_SQL

January 9, 2025 – January 9, 2025

We developed RFM analysis for customer segmentation with SQL query language using FLO market data set

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Telecom_ML_Churn

December 17, 2024 – December 17, 2024

Churn Prediction with Machine Learning

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Diabetes_ML_Classification

December 17, 2024 – Present

Diyabet tahmin çalışması

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Scoutium_ML_Classifier

December 17, 2024 – December 17, 2024

Scout’lar tarafından izlenen futbolcuların özelliklerine verilen puanlara göre, oyuncuların hangi sınıf (average, highlighted) oyuncu olduğunu tahminleme.

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FLO_Data_SQL_Case_Study_1

May 28, 2024 – May 28, 2024

SQL dilinde gerçek hayat verileri ile pratik alıştırması

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Rule-Based-Classification-Case

February 5, 2024 – February 5, 2024

A rule-based classification is created with persona data.

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senolyldz20

December 26, 2023 – Present

senolyldz20 — GitHub repository

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with SQL for data analysis and customer segmentation (RFM Analysis).
Familiarity with Machine Learning for classification tasks (Churn Prediction, Diabetes, Scoutium).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test results.

Şenol YILDIZ

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit