[Your Full Name]
[Your Phone Number] | [Your Email] | [City, State]
LinkedIn: [Your LinkedIn URL] | GitHub: [Your GitHub URL] | Portfolio: [Your Website URL]

PROFESSIONAL SUMMARY
Data Scientist with [3-5] years of experience building predictive models and delivering data-driven solutions. Proven track record of increasing revenue by [X%] and reducing costs by [Y%] through machine learning implementations. Expert in Python, R, and SQL with strong business acumen and communication skills.

TECHNICAL SKILLS
Programming Languages: Python, R, SQL, Java
Machine Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Keras
Deep Learning: Neural Networks, CNN, RNN, LSTM, Transformers
Data Engineering: Apache Spark, Hadoop, Airflow, ETL Pipelines
Cloud Platforms: AWS (SageMaker, EC2, S3), GCP, Azure
Visualization: Tableau, Power BI, Plotly, D3.js
Databases: PostgreSQL, MySQL, MongoDB, Redis

PROFESSIONAL EXPERIENCE

Data Scientist
[Company Name], [City, State]
[Start Date] – Present
• Developed [type] models improving [business metric] by [X%] and generating $[amount] in additional revenue
• Built recommendation engine serving [number] users with [X%] accuracy and [Y%] click-through rate
• Implemented A/B testing framework reducing experiment cycle time from [X] weeks to [Y] days
• Collaborated with product and engineering teams to deploy [number] models to production
• Mentored [number] junior data scientists on best practices and model development

Data Scientist
[Previous Company Name], [City, State]
[Start Date] – [End Date]
• Created customer churn prediction model with [X%] accuracy, reducing churn by [Y%]
• Automated data pipeline processing [amount] of data daily, saving [X] hours per week
• Conducted exploratory data analysis identifying $[amount] in cost-saving opportunities
• Presented insights to C-level executives influencing [strategic decision or initiative]
• Optimized [existing model/system] improving performance by [X%]

[Earlier Position Title]
[Company Name], [City, State]
[Start Date] – [End Date]
• Analyzed [type of data] to identify trends and patterns supporting [business objective]
• Built dashboards in [tool] tracking [key metrics] across [departments or teams]
• Developed [number] machine learning models for [use cases]

KEY PROJECTS

[Project Name]: [Brief Description]
• Problem: [Business problem or challenge addressed]
• Solution: Built [type of model] using [techniques and tools]
• Impact: [Quantified results - revenue, cost savings, efficiency gains]

[Project Name]: [Brief Description]
• Problem: [Business problem or challenge addressed]
• Solution: Implemented [approach] with [technologies]
• Impact: [Quantified results]

EDUCATION
[Degree Name], [Major]
[University Name], [City, State]
Graduation: [Month Year]

CERTIFICATIONS & TRAINING
• [Certification Name], [Issuing Organization], [Year]
• [Certification Name], [Issuing Organization], [Year]

PUBLICATIONS & PRESENTATIONS
• [Publication Title], [Conference/Journal Name], [Year]
• [Presentation Title], [Event Name], [Year]