Jennifer Arty Email and Phone Number

•Managed a team of three data analysts overseeing sprint work and development; developed project roadmap for email marketing journeys, and built KPI and metrics to increase email engagement and program registration•Used Python to analyze email engagement rates, program purchases and lead times; leveraged this data to strategically build five new automated email journeys by using SQL in Marketing Cloud•Elevated company-wide engagement of PowerBI dashboards by creating five cloud-based… Show more •Managed a team of three data analysts overseeing sprint work and development; developed project roadmap for email marketing journeys, and built KPI and metrics to increase email engagement and program registration•Used Python to analyze email engagement rates, program purchases and lead times; leveraged this data to strategically build five new automated email journeys by using SQL in Marketing Cloud•Elevated company-wide engagement of PowerBI dashboards by creating five cloud-based dashboards to measure success of email campaigns, registrations, and user engagement•Conducted training for Marketing Cloud automation studio and journey builder; automated processes using Python•Worked with IT, Engineering and PMs to transition internal marketing procedures and data into Marketing Cloud Show less

Skilled up in Python, Statistical Analysis, Machine Learning, and Deep Learning in this 15-week intensive training program. As part of the program, I attended lectures, completed individual and group programming assignments, code challenges and projects to demonstrate a comprehensive understanding of both the theory and applications necessary to become a junior Data Scientist and Machine Learning engineer.• Studied a variety of data science tools in depth, including Python, SQL, SQLAlchemy,… Show more Skilled up in Python, Statistical Analysis, Machine Learning, and Deep Learning in this 15-week intensive training program. As part of the program, I attended lectures, completed individual and group programming assignments, code challenges and projects to demonstrate a comprehensive understanding of both the theory and applications necessary to become a junior Data Scientist and Machine Learning engineer.• Studied a variety of data science tools in depth, including Python, SQL, SQLAlchemy, scikit-learn, Pandas, and Keras• Worked both individually and in teams to develop and present a variety of data science projects including:Measuring the impact of wine rating and wine reviews have on the price of wine:+Applied statistical analysis to analyze the relationship between the type of wine and rating+ Implemented regression and classification models to predicting the price of wine based off of Wine Reviews+ Used Multi-Layer Perceptron and Natural Language Processing to categorize wine based off of user reviews Measuring the impact proximity to subway stations have on rental prices in Manhattan and Brooklyn:+ Utilized Pandas to create a unique dataset from NYC Open Data library, Zillow, and Google Map API+ Analyzed data to find the relationship between rent prices and proximity to the subway+ Implemented machine learning (random forest, logistic regression, adaboost and gradient booster) to predict if proximity to the subway would result in rental prices to be below or above neighborhood average priceAnalysis of 311 Calls in NYC to identify trends to make call center staffing recommendations:+ Built database using NYC Open Data library to pull two years of 311 calls across the five boroughs of New York City+ Analyzed database using SQLAlchemy to identify call trends based on seasonality, time of day, call request, etc.+ Created Dash app to demonstrate interactive charts of findings Show less

+ Maximized revenue strategies for three hotels, through analysis of price sensitivity, segmentation mix, and market demand + Used quantitative analysis to develop and implement room revenue strategies to increase overall RevPar for all properties+ Collaborated with Department Heads and Market Managers on developing and implementing selling and promotional strategies+Provide analytical insight through reports to prepare yearly budget and assist with Sales/Marketing Plan

+ Maximized revenue strategies through quantitative analysis of price sensitivity, segmentation mix, and market demand+ Developed models to analyze market trends to implement strategies to increase revenue, market share, RevPar and prepare the weekly forecast and yearly budget. + Conduct weekly Revenue/Yield meetings+ Helped with onboarding on new revenue management employees in FL

Prepared and distributed weekly and monthly report for properties in Alexandria, VA and Baltimore, MD+ Created ad hoc reports for all Kimpton Properties in DC + Reviewed and analyzed third party reports to recommend rate changes to increase room revenue

Responsible for: Check in/checkout guest · Room blocking · Handling guest request · Service recovery · Customer service·Reservations · Administering room moves · Processing credit card authorization

13 week internship with a focus in Front Office Operation · Rotational two week training in: PBX, Front Desk Agent, AssistantFront Office Manager, Front Office Manager, and Manager on Duty