Fred Z. Email and Phone Number

• Ran CLLI queries to extract data for analysis reports using Databricks and DataRobot, and budgeted and specialized in saving solutions within the network environment.• Managed delivery of cross-selling, upsell, and retention marketing strategies & models across clients in multiple domains• Worked with the Fiber deployment team to ensure the product and features integrated seamlessly with the network design• Collaborated with engineering teams to translate data-driven recommendations to actionable items that improve customer experience and save operational costs.

• Created processes and methods to gather supply chain data, planned and implemented supply chain optimization projects made data processing 500% more efficient.• Discovered the most cost-effective shipping modes and schedules, evaluated vendor operations according to quality standards, reduced overall logistics cost by 72%.• Collaborated with IT professionals to implement effective systems• Track KPIs and report on supply chain’s performance, shortened the supply chain circle by 36%

• Analyzed, identified, and helped solve problems or enhance features and functionalities on web applications.• Liaise with senior management regarding design and implementation of strategies.• Performed weekly testing of the site to ensure optimal levels of website functionality.• Analyzed over the website for customer ease of navigate and increased time on site.

• Visualized trends and factors from over 15,000 reviews on 6 major U.S. airlines from Twitter on February 2015, animated charts and several interactive figures including maps using R Shiny; provided suggestions for airline improvements. • Scraped over 4000 reviews from Skytrax.com using Scrappy with Python and analyzed most critical factors consumers focus on when they rate an airline, provided insights for the industry.• Implemented ensembled model to predict residence sales price for Ames, IA based on dozens of housing characteristics utilizing feature engineering, linear regression with elastic net regularization and random forest and gradient boosting machine algorithms in a Kaggle competition.• Analyzed over 12 years of sales history from an online merchant by using Python, Natural Language Processing, AB testing, Apriori algorithm, and customer Retention Prediction. Organized sales performance by region and products, monetized visitor and customer behavior, created order activity pattern, provided suggestions in five areas of business.

• Worked as a peer mentor to selected Arizona Junior Fleischer Scholars at ASU’s W. P. Carey School of Business, guiding them for 1 week as they experience ASU as a college student. • Worked with a team of 13 peer mentors and individually led student team of 30.• Helped facilitate hands-on business experiences for scholars, including team building, group projects, and business competition.

• Worked in a team of 75 student leaders in para-professional work environment as peer coach, assisting ASU in freshman retention and success for over 5,000 students.• Managed a diverse portfolio of over 120 freshman students at ASU, meeting with them 1-1 connecting them to resources and guidance as necessary.• Outreached to over 130 students via phone and email. Documented interaction on retention dashboard, portfolio, and AdvisorTrac.