Immersive Data Science program that teaches data strategy as well as providing hands on experience with advanced statistics and analytics, big data, git/github, Python, machine learning, R, and visualization. o Created an interactive dashboard using R shiny looking at trends in rat sightings in NYC. Analyzed prior governmental initiatives, impact and methodology, found rat sightings had a strong correlation with temperature, and used time series decomposition to estimate when the rat reporting trend shifted dramatically. o Created a spider to scrape the Steam Game Store to uncover Steam’s pricing strategies. Bypassed two age check gateways and pulled information from 22 thousand games, performing the data cleaning in the spider itself.o Utilized model ensembling to predict sale price for residential homes in Ames, IA utilizing feature engineering, scaling, and imputation to preprocess the data then applied lasso, ridge, and elastic net regularization, random forest, and gradient boosting machine algorithms in a Kaggle team competition.o Performed consumer analysis for a large beverage company. Solved a time synch/time slippage issue with the data and combined demographic data with user orders for more than 8,000 unique actions.

• Handled day to day operations and special projects for company primaries including weekly operation reports, auditing device records before external audits, overseeing inspection and receiving, and handled basic financial operations.o Redesigned receiving and inspection process; reducing processing time by 90%. o Managed a team of employees, growing sterile sleeve production 42% while reducing scrap 40% to about 5%. o Designed a custom database for our records to create business transparency for executives

• Managed campaign budgets and optimized accounts to achieve KPI’s.o Designed scripts to report sudden changes in traffic to identify potential overspend or site crashes.o Created new ad copy and performed A/B testing to track ad performance.

• Prepared commercial real estate appraisals for clients.o Analyzed and reported local market conditions, comparable sales, income generation, construction costs, etc.

•Assisted yearly budget development, documented all donations and expenses, organized all financial data, prepared financial reports, and structured seven years of accumulated, unorganized financial information

Tutor Students in microeconomics

• Classify expenses into subcategories, reconcile bank statements, and review check and receivables entries made by owner.

•Interviewed and prepared 2010 tax returns for lower income families.