Mesbah Najafi

Data Scientist | Machine Learning | GenAI

Role
Data Scientist at RRD
Location
San Mateo, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Mesbah Najafi

Expertise in data modeling, deep learning, statistical analysis, experimental design, and LLMs- Hands-on experience with Python, SQL, Spark, and version control to analyze data and build predictive models- Applied clustering, optimization, and exploratory analysis techniques to support data-driven insights- Experience working with large-scale datasets across advertising, healthcare, and insurance domains- MS in Statistics (Machine Learning Conc.)+ Ph.D. in Polymer/Material Science (Data Modeling conc.)- Publications and awards in machine learning, recommendation systems, and process design- Collaborated with Nike and Honeywell R&D to deliver advanced analytics and product development solutions

Experience

  1. Data Scientist

    RRD

    Jan 2022 — Present · San Mateo County, CA, US

    Performed EDA, data cleaning, and feature engineering on large-scale financial and transactional data in Hadoop/Spark using UDFs and window functions- Trained and tested predictive and recommendation models (Random Forest, Gradient Boosting, and LSTM in PyTorch), improving advertising campaign lift by 20% and achieving 90% AUC- Improved model performance and stability through feature selection, resampling, correlation analysis, and Bayesian optimization, evaluating results using SHAP, AUC, and lift metrics- Designed and automated the end-to-end regression and classification pipelines in Snowflake using task graphs, stages, and Docker containers (CPU/GPU)- Built KPI dashboards in Tableau and QuickSight to deliver insights to technical/non-technical audiences

Education

  • North Carolina State University

    Ph.D. in Polymer/Material Science (Data Modeling Conc.)

    2012 — 2017

  • University of Colorado

    M.S. in Statistics (Machine Learning Conc.)

    2019 — 2020

Skills

  • X-Ray Diffraction Analysis
  • Polymer Chemistry
  • Nanotechnology
  • Polymer Characterization
  • Data Analysis
  • Technical Textiles
  • Microsoft Office
  • Fiber/Yarn Production
  • Matlab
  • Nonwovens
  • Tissue Engineering
  • Polymer Processing
  • Textile Comfort
  • Polymer Science
  • Film Extrusion
  • Statistics

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