Business Analytics, Data Analytics, Marketing Analytics

Christina Sottile

**** * ************** **, ******, CA • (818) – 455 – 1858 • *********.*********@*****.*** EDUCATION

Chapman University, Argyros School of Business, Fowler School of Engineering Bachelor of Science in Business Administration, Minor in Analytics Technical Skills: Microsoft Excel, Microsoft Office, R Studio, Python, SQL, Tableau, Power BI, Java, C++, Databricks, SAS, Computer Visualization, Data Visualization

Relevant Coursework: Business Analytics, Data Science, Statistical Models in Business Analytics, Digital Marketing, Information Systems, Data Analytics, Machine Learning, Enterprise Data Management, Investments, Applied Business Analytics, New Product Development

Udemy Certifications: Enterprise Architecture, Databricks Certified Data Engineer, Business Analysis Fundamentals, PL-300 certification: Microsoft Power BI Data Analyst EXPERIENCE

TENANT INC. June 2024 – Present

Marketing SEO Specialist

• Analyze local rankings to identify opportunities for improvement and implement strategies to enhance clients' visibility in local search results.

• Conduct comprehensive SEO audits to identify technical issues and areas for optimization, ensuring websites adhere to search engine guidelines.

• Improved organic search traffic by 3% within 1 month for multiple clients through effective SEO strategies and content optimization.

RESILIENCE INC. August 2022 – Present

Google Analytics Intern: Marketing and Advertising

• Conduct Google search engine analysis to optimize user outreach, providing social and emotional learning to students worldwide.

• Conduct SWOT analysis to promote products better and adhere to target markets.

• Utilize Microsoft Excel to perform analytical models on advertisement data. CHAPMAN UNIVERSITY OFFICE OF RESIDENTIAL LIFE August 2021 - May 2024 Office Assistant

• Oversee administrative preparation and logistics for student housing, along with customer service for 4,500 students.

• Facilitated mentorship through confidential phone calls regarding living situations and university housing information for 5 campus dormitories.

PROJECTS

PYTHON

Segmenting NBA Players by Statistics

• Conducted linear regression to determine which statistics contribute most to NBA player salary.

• Produced a Principal Component Analysis to determine which variables were needed to determine a player’s salary accurately.

• Performed K-Means clustering to determine at what age a player’s salary starts to decrease, with respect to their key statistics.

R-STUDIO

How Analytics Define the New Age of Blockbusters

• Conducted linear regression, random forest regression, and Lasso and Ridge regression to predict new movie performance and provide Streamline INC. the top 3 performing movies, using historical data and variables such as budget, revenue generated, overview, etc.

• Used IMDB ratings from previous films to predict new IMDB ratings for these top 3 movies using gradient boosting tree models.

TABLEAU

Analysis of Twitter Sentiment Data

• Analyze Twitter data to produce an insight report and determine which data contributed most to a review of major U.S. airlines by conducting logistic regression analysis.

• Use positive, negative, and neutral tweets to establish which major U.S. airlines are most suitable for travel and will provide the best travel experience by executing sentiment analysis. SKILLS AND INTERESTS

Soft Skills:

• Organizational skills and attention to detail in a fast-moving and stress-inducing environment.

• Excellent time management skills while multi-tasking to complete projects.

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