Sydney Tran Email & Phone Number

Portland, Oregon, United States

Provide quantitative analysis and data driven insights in support of various departmental initiatives in ticket pricing, customer retention modeling, and sales forecastingAnalyze various datasets, building statistical models, visualizing results, and communicating recommendations

Portland, Oregon Area

Recruited, hired, and trained a team of 40 Associates ensuring less than 50% turnover ratesDecreased payroll expenses by analyzing controllable expenses and adjusting to daily sales and present business trendsCommunicated clearly and effectively on internal and external operations to ensure 100% compliance in company standards and safety

Remote

24 week Data Science Immersive programUtilized Python, Analytical and Modeling tools (Numpy, Pandas, Scikit-learn, Statsmodel), Data Visualization (Matplotlib, Seaborn), and Machine Learning (supervised, unsupervised) to complete 6 projects and over 20 lab assignmentsCompiled data science projects into written reports and presented to non-technical audiences communicating results through visualizations Technical Projects:Capstone: Spotify Top 200 Weekly Song Analysis February 2022-Utilized linear regression models to predict popularity scores among songs to identify characteristics in top songs-Data munging with preprocessing steps such as natural language processing and engineering polynomial featuresAPIs & NLP: Reddit Prediction Project-Aimed to predict and differentiate two similar Subreddits utilizing natural language processing and APIs to build classification models (random forest, logistic regression, multinomial naive bayes)-Utilized tokenizing, count vectorizer, and stop word removal in preprocessing steps in machine learning modelAmes Housing & Price Prediction Project -This project aimed to predict sales price utilizing 80+ features on the Ames Housing dataset-Utilized Python, Numpy, Pandas, Scikit-learn, Matplotlib, and Seaborn to build multiple predictive linear regression models, feature engineering, and exploratory data analysisStandardized Testing Analysis Project -This project aimed to explore trends in SAT participation from 2017-2019 and identify how the College Board can increase participation rates-Utilized Python, Numpy, Pandas, Matplotlib, and Seaborn to do exploratory data analysis on 3 datasets

Eugene, Oregon Area

Collaborated alongside Loss Prevention to manage shrinkage and shortage goals, achieving less than 1.00% shortage.Learned business operations from senior leadership by overseeing store assessments and analyzing store successes and opportunitiesConducted and presented to a panel of senior leadership on a solo store assessment based on knowledge gained on store business operations

Orlando, Florida Area

Committed to managing multiple tasks in a fast-paced environment, resulting in increased customer satisfactionDisplayed versatility and teamwork by collaborating with management, ensuring staffing needs were met at various locations within the 25 resorts

Certificate, Data Science

Activities and Societies: 24 week Data Science Immersive program Utilized Python, Analytical and Modeling tools (Numpy, Pandas.

Bachelor Of Science - Bs, Business Administration, Management And Operations

Activities and Societies: Alpha Phi Omega - Coeducational Service Organization