Vahid Arbab

Machine Learning and Data Science Lead

Role
Data Science Manager at Hulu
Location
Los Angeles, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Vahid Arbab

Experienced Data Scientist with over 12 years of applying machine learning, statistical modeling, operations research, and data mining to address complex business challenges and enhance product performance. Skilled in leveraging data-driven insights to optimize decision making, improve efficiencies, and drive innovation. Machine Learning & AI: Scikit-Learn, PyTorch, TensorFlow, Keras Natural Language Processing & LLMs: Word & Sentence Embeddings, Transformer Models, BERT, GPT, LLM Fine-Tuning Recommender Systems: Matrix Factorization, Neural Collaborative Filtering Advanced Modeling Techniques: Ensemble and Stacking Methods, Meta-Learning, Self-Supervised and Active Learning Time Series Forecasting: Bayesian Structural Time Series (BSTS), Prophet, ARIMA Product Analytics & Experimentation: A/B Testing, Multivariate Testing, Experimental Design, Quasi-Experiments, Counterfactual Analysis and Causal Inference Big Data & Databases: SQL, Hive, Presto, Hadoop, Spark, Snowflake Data Visualization & Analytics: Tableau, Streamlit, Looker, Matplotlib, Seaborn Data Engineering & ETL: PySpark, External API Integration, Streaming Data Processing (Kafka, Flink), Workflow Orchestration, Data Warehousing MLOps & Model Deployment: CI/CD for Machine Learning, ML Monitoring & Logging, API Deployment (FastAPI, Flask), Dockerization Cloud Platforms: Databricks, Google Cloud (GCP), AWS, Microsoft Azure

Experience

  1. Data Science Manager

    Hulu

    Mar 2021 — Present · Santa Monica, CA, US

Education

  • University of Southern California

    Doctor of Philosophy (Ph.D.), Electrical Engineering

  • Sharif University of Technology

    Bachelor's Degree, Electronics

  • University of Southern California

    Master's Degree, RF/Analog and Mixed Signal Circuit Design

  • Sharif University of Technology

    Master's Degree, Telecommunication Systems

  • National Organization for Development of Exceptional Talents (Sampad)

    High School Diploma, Mathematics and Science

Skills

  • Data Mining
  • Optimization
  • Statistics
  • Simulations
  • Mongodb
  • Digital Signal Processors
  • Hadoop
  • Matlab
  • Ic
  • Java
  • Optics
  • Image Processing
  • Python
  • Mixed Signal
  • Signal Processing
  • Simulink
  • Rf
  • Sql
  • Algorithms
  • Machine Learning
  • Wireless

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