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