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Data Scientist Resume Example

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Priya Patel - Profile Photo

Priya Patel

Senior Data Scientist

[email protected]+1 (617) 482-3196Cambridge, MA 02139Class C — Valid U.S. Driver's License

Professional Summary

Data scientist with 5+ years of experience applying machine learning, deep learning, and statistical analysis to solve complex business problems across retail, healthcare, and market research domains. Built and deployed predictive models that increased revenue by $3.2M annually and reduced fraud losses by $800K. Proficient in Python, R, SQL, and modern ML frameworks including TensorFlow and PyTorch, with hands-on experience deploying models to production using MLflow, Docker, and AWS SageMaker. Published researcher with 2 peer-reviewed papers on NLP at ACL and EMNLP conferences.

Work Experience

Senior Data Scientist

RetailAI Corp.

Feb 2022 - Present

  • Built customer churn prediction model using XGBoost and feature engineering on 15M+ customer records, achieving 92% accuracy and saving estimated $3.2M in annual revenue
  • Developed product recommendation engine using collaborative filtering and deep learning embeddings, increasing cross-sell conversion by 28%
  • Led team of 3 data scientists in building real-time fraud detection pipeline processing 2M+ transactions daily with a 97.5% precision rate
  • Deployed models to production using MLflow, Docker, and AWS SageMaker, establishing the team's first standardized ML deployment pipeline
  • Presented quarterly model performance reviews and business impact analyses to C-suite executives, directly influencing $5M+ in strategic investment decisions

Data Scientist

HealthTech Analytics

Jun 2020 - Jan 2022

  • Built NLP pipeline for clinical notes classification with 95% F1 score using BERT fine-tuning on 500K+ annotated medical records
  • Created A/B testing framework with Bayesian analysis used across 4 product teams, standardizing experimentation practices and running 30+ experiments per quarter
  • Designed interactive dashboards in Tableau connecting to Snowflake data warehouse, reducing executive reporting time by 75%
  • Developed patient readmission risk model using survival analysis, helping care teams prioritize follow-ups and reducing 30-day readmission rates by 12%

Data Analyst

Market Insights Group

Aug 2018 - May 2020

  • Performed statistical analysis on consumer behavior datasets with 10M+ records using Python, R, and SQL to identify key market trends
  • Built predictive pricing model using gradient boosting, improving margin accuracy by 15% across 3 product categories
  • Automated monthly reporting pipeline using Python and Airflow, reducing manual effort by 20 hours/month and eliminating data entry errors
  • Conducted customer segmentation analysis using k-means clustering, informing a $2M targeted marketing campaign that achieved 22% higher ROI than previous campaigns

Education

M.S. Statistics

Massachusetts Institute of Technology

2016 - 2018

Thesis: 'Transfer Learning Approaches for Low-Resource Clinical NLP.' Coursework in Bayesian inference, causal inference, and high-dimensional statistics.

B.S. Mathematics

University of Michigan

2012 - 2016

Minor in Computer Science. Graduated with honors. Undergraduate research in computational statistics.

Courses & Certifications

Deep Learning Specialization

Coursera / deeplearning.ai

2021

5-course specialization covering neural networks, CNNs, RNNs, sequence models, and hyperparameter tuning.

AWS Certified Machine Learning - Specialty

Amazon Web Services

2023

Credential ID: AWS-MLS-2023-7412

Causal Inference for Data Science

Coursera / Columbia University

2022

Covered randomized experiments, instrumental variables, regression discontinuity, and difference-in-differences methods.

Languages

English

Speaking: NativeListening: NativeWriting: Native

Hindi

Speaking: FluentListening: FluentWriting: Fluent

Gujarati

Speaking: IntermediateListening: FluentWriting: Basic

Skills

PythonRSQLTensorFlowPyTorchScikit-learnPandasTableauSparkNLPA/B TestingStatistical Modeling

This is a sample resume. Customize it with your own experience using our free resume builder.

Tips for Your Data Scientist Resume

Quantify Business Impact

Don't just say 'built a model'. Say 'Built churn prediction model saving $3.2M annually'. Translate technical work into business outcomes that hiring managers understand.

Mention Model Performance Metrics

Include accuracy, F1 scores, AUC-ROC, or other relevant metrics. 'Achieved 92% accuracy' proves your models actually work.

Show the Full Pipeline

Data science is more than modeling. Mention data cleaning, feature engineering, deployment, and monitoring. Show you can take a project from raw data to production.

Include Publications and Research

If you have published papers, conference talks, or open-source contributions, include them. They demonstrate thought leadership and deep expertise.

Key Skills for a Data Scientist Resume

PythonRSQLMachine LearningDeep Learning (TensorFlow/PyTorch)Statistical AnalysisNLPA/B TestingData Visualization (Tableau)Spark/Big DataFeature EngineeringModel Deployment

Frequently Asked Questions

What should a data scientist resume include?

A data scientist resume should include programming skills (Python, R, SQL), machine learning frameworks, statistical methods, business impact metrics, education (often advanced degrees), and relevant projects or publications. Emphasize measurable outcomes of your models and analyses.

Do I need a master's degree for a data science resume?

While many data science job postings prefer advanced degrees, they're not always required. Strong project experience, relevant certifications (like AWS ML Specialty), and demonstrated business impact can compensate. Highlight your practical skills and measurable results.

How do I make my data scientist resume ATS-friendly?

Use standard section headings, list specific technologies by name (TensorFlow, not 'ML frameworks'), include keywords from the job description, and use a clean single-column format. Avoid images, tables, or unusual formatting that ATS can't parse.

Can I create a data scientist resume for free?

Yes. NoBsResume is 100% free with no hidden costs. Choose an ATS-friendly template optimized for tech roles, add your data science experience, and download as PDF instantly.

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