Data Scientist CV Örneği — 2026

Data scientist CV example — advanced analytics professional with expertise in machine learning and big data at India's leading tech and fintech companies.

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💡 ATS Nedir? Tech ATS systems scan for specific machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), cloud platforms (AWS SageMaker, GCP Vertex AI), and statistical methods. Include Kaggle rank if you have one, and mention any publications or competitions you've placed in.

What to Include

• Machine learning models deployed: Built recommendation engine that increased product purchases by 28% or fraud detection model reducing losses by Rs. 2 crores annually.
• Data scale and complexity: Worked with datasets of 500M+ rows, real-time streaming data (Kafka), or multi-modal data (images, text, numbers).
• Statistical tests and methodologies: A/B testing, time series forecasting, clustering, deep learning — list what you actually use.
• Kaggle or research credentials: Top 1% Kaggle ranking or published papers on Medium/Towards Data Science.

Common Mistakes

• All theory, no business impact: Saying built a regression model is weak. Say built pricing model that optimized profit margins by 8%.
• Not specifying libraries and tools: Name the exact tools: TensorFlow, XGBoost, Spark, Python, SQL — don't be vague.
• Missing cloud experience: AWS, GCP, or Azure experience is expected at mid-level roles.