• Involved in Agile methodology by analyzing business requirements and understanding the functional workflow of information from source systems to destination systems. Completed this work through Sprints• Interacted with Development Teams and Managers to analyze business needs and developed technical specifications• Experience in Data Analysis and Data Profiling using SQL and Excel on large volume of data sets like Oracle and SQL Server

Analytics Consultant

• Completed a 5-week introductory online Python programming course based on material from the first half of Stanford’s introductory programming course, CS106A.• Offered by Stanford during COVID-19 pandemic, with 10,000 global students and 900 volunteer teachers participating from around the world.

Flatiron School's Immersive Data Science course is a 15-week online Data Science Boot camp. Skills include: Python, SQL, Numpy, Pandas, Keras, Scikit-learn, Data Mining, Data Cleaning, Data Visualization, Hypothesis Testing, Machine Learning.Technical ProjectsPredicting Hotel Direct Booking Behavior - github.com/krystiandennis/dsc-capstone-project-v2-online-ds-ft-071519Supervised classification algorithm to identify how twitter users book hotel stays, achieving 82% testing accuracy● Obtained over 19,000 tweets from Twitter API for Marriott Hotels and Top 3 Online Travel Agencies● Conducted natural language processing with NLTK to tokenize and vectorize tweets● Extracted sentiment metrics using TextBlob and VADER to refine machine learning algorithm and identify trends● Employed Naive Bayes, Logistic Regression and Random Forest Classifier to model probability of hotel bookingPredicting Holiday Flight DelaysSupervised classification algorithm to identify holiday season flight delays, achieving 93% testing accuracy● Collected 70,000 flight records for the top 3 US Airlines● Binarized records for flights with and without 15 minute delays during Year-end Holiday Travel Season● Optimized best model parameters with Pipeline and GridSearchCV● Projected holiday flight delays with XGBoost, Random Forest, K Nearest Neighbors and SVM modelsUsing Times Series Data to Predict Home Sale Prices Time Series Model to identify top 5 real estate investment zip codes, demonstrating 47-54% projected growth● Selected Zillow Research data for home sales in five highest ranked cities for Overall Real Estate Prospects● Mitigated risk through investment selection based on return on investment and return dispersion● Predicted 5-year real estate investment growth with SARIMA and Facebook Prophet models● Created interactive maps of chosen investment locations with Folium

• Lead 25-minute online language learning sessions teaching students ages five to thirteen • Use Total Physical Response to increase understanding of total English Language Immersion• Free Trial Lesson Specialisto Teach introductory lesson to prospective students to encourage enrollmento Received 98/100 approval rating from newly enrolled students• Evaluate student’s language proficiency using Common European Framework of Reference for Language

• Resolved an average of 100 customer contacts per day: take payments, billing disputes, product benefits• Created memorable customer service experiences by addressing true needs, using active listening and empathy to build immediate rapport• Added measurable value by clarifying product terms, making relevant product offers and explaining key product benefits to increase customer engagement• Took ownership of customer complaints to achieve first-call resolution• Self-manager working on a fully distributed team• Met and exceeded performance metrics and compliance regulations

• United Kingdom On-road Driver Support Specialist• Resolved an average of 210 contacts per week via phone and email• Researched customer accounts and orders in legacy system• Troubleshot Tier I on-road Amazon Driver App login and performance issues• Spearheaded Amazon Shipper Central Support Pilot Team

• Spa Operationso Managed team of 19 spa concierges, spa attendants, therapists and aestheticians o Coordinated fitness center operations for private member base and hotel guestso Oversaw retail boutique with $15,000 inventory• Payroll Managemento Processed and administered payroll and commission statements biweekly • Inventory Managemento Created just-in-time inventory management system o Ordered all back bar and retail supplies for spao Effectively reduced supply costs by 10%• Recruitment and Trainingo Recruited and trained spa concierge teamo Wrote spa concierge training manual and pictorial standard operating procedures