Marwan Ali

Seasoned Data Scientist experienced in working with large datasets, breaking down information, and applying interpretations to complex business concerns. Proficient in distribution, predictive, and hypothetical modeling. 5+ years of related experience strengthening company operations. Meticulous brings expertise in testing, validating, and reformulating models. Employs statistical software to manipulate data and forecast outcomes. Proven history of designing and implementing data collection innovations.

• Forecasting Best Rates for Airbnb (Seattle) Owners, Springboard, 09/01/22, Python Tools: Pandas, NumPy, Seaborn, Datetime, Scikit-Learn, XGBoost. Built a churn prediction model that achieved 85% accuracy on test data using supervised machine learning algorithms based on real listing data. Performed data wrangling to correct all outliers and missing data values and handle big, biased data sets Utilized exploratory data analysis to hypothesize potential predictors and engineer new features. Modeled the training data to several classification and tree-based algorithms and chose the best performing model.
• Predicting Traffic Crashes in Detroit City, Northcentral University, 06/01/22, Performed time series analysis with historical traffic accident data and sentiment analysis to build a crash predictor for the upcoming period assuming new policies. Achieved an RMSE of 0.01 and direction accuracy of 66%. Modeled the training data to several linear regression algorithms (Moving Average, OLS Regression, Ridge Regression, Polynomial Regression).

• Member of the National Society of Leadership and Success (2022): Top graduate membership; only a few are awarded each year at NCU.
• Silver Level Leadership Prize (Summer 2012): Institute of Management Accountants.