Hi, I am Maryam Andalib; a data scientist in Creator Studio at Spotify. I perform A/B testing, inferential statistics, machine learning predictive modeling on the big data sources of music industry to inform sales and marketing teams.

In my previous role in Intelligent Customer Interactions (ICI) team of Ford Motor Company, my projects mainly include delivering business insights to Ford's Marketing & Sales and Ford Credit using advanced data-driven methods, staistical analysis, machine learning, simulation modeling and social network analysis.

I received my Ph.D. degree from the Grado Department of Industrial and Systems Engineering at Virginia Tech in May 2018, Master of Science in civil engineering from Virginia Tech in 2013 and Bachelor of Science in civil engineering from Sharif University of Technology in 2012.

Exploratory Data Analysis & Dashboards

Applications:

  • Science Workforce- NIH project

  • Ford Marketing & Sales

  • Ford Credit

  • Ford Product Development

  • Kaggle Challenge

Experiment Design & Statistical Analysis

Selected Methods:

  • ANOVA

  • ANCOVA

  • Linear Regression

  • Survival Analysis

Forecasting & What-if Scenarios

Methods:

  • System Dynamics Simulation

  • Agent-Based Modeling

  • ARIMA

  • SARIMA

Social Network Analysis

Supervised and Unsupervised Learning

Selected Methods:

  • Logistic Regression

  • Ensemble Decision Trees (Random Forrest, Gradient Boosting)

  • Clustering

  • Sentiment Analysis

  • LDA

Hackathons & Data Science Challenges

Awards:

  • Ford GDI&A COVID-19 Innovation Challenge

    • Received Most Innovative Contribution- Marketing

    • Received People's Choice Awards- Marketing

  • Kaggle Challenges