Alex Schultz Email & Phone Number

Atlanta, Ga, Us

Austin, Texas, Us

Austin, Texas, Us

Seattle, Washington, Us

- Leveraged SQL and Tableau on a daily basis to support ad-hoc needs for Vice President of Operations.- Developed a Python script that scrapes FAA data every five minutes in order to support reporting and decision making for delayed inbound flights. Data gathered helped improve on time performance by 3%.- Built an airport capacity tool in to help alleviate impact of general congestion and weather events. Dashboard is deployed and has resulted in a 6% increase in customer satisfaction at problematic airports. - Scoped a project to optimize amount of bags that are gate checked. Working with airport and vendor stakeholders to define data capture best practices, operational impact and KPI setting.

New York, Ny, Us

- Hosted office hours and review sessions for students in Data Science programs in Seattle, Washington- Followed GA's curriculum while teaching students visual and statistical analysis on data using Python and its associated libraries and tools. Includes: - Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn, etc. - Machine Learning (classification, regression, and clustering) -Big Data in Scala/Spark -Web Scraping -Data Mining -NLP -Neural Nets in Tensorflow and Keras

New York, Ny, Us

General Assembly is a full-time, 12-week data science boot camp focusing on statistics, programming, machine learning and deep learning, database management, and visualization. - Built a long short term memory neural network in Keras to help predict the future spot price of coffee. Data mining focused on web scraping and world coffee data. Integrated natural language processing and time series analysis to neural net to improve robustness of predictions; delivered accuracy around 70%. - Analyzed 46 years of terrorist data via the Global Terrorism Database in order to develop a statistical model for developing insights into future occurrences of terror. Solved problem of missing data from 1993.- Utilized a support vector machine and lasso regression to forecast the Google Cloud 2018 March Madness Tournament; used personal creativity to engineer additional features. Finished in the top 15% nationwide. - Developed ARIMA Model to forecast airline market share, revenue and demand. Forecast predicted out two quarters. - Honed machine learning expertise by creating pipelines and data analytics tools to predict housing prices.- Built machine learning framework for mining large data sets, feature engineering and predictive analytics.- Verbal communication skills were improved through ability to articulate seven data driven projects to peers.

Charlotte, Nc, Us

- As a Relationship Manager I was tasked with coordinating with cross-functional teams and external partners to sell and implement tailor-made foreign exchange, treasury, credit and risk management products in order to make customers day-to-day operations more profitable. - I managed a portfolio of 98 foreign and domestic relationships with the aim of driving core revenue growth and products per relationship. - Through my experiences I have gained a detailed knowledge of Puget Sound economic drivers that help influence lending and banking decisions and have strategized with partners to drive overall client and relationship satisfaction. - Working with my clients and prospects I have proactively assessed financial needs for the purpose of formulating a business plan and delivering an effective variety of financial products and services in order to help the customer succeed financially.

Charlotte, Nc, Us

- Part of a nationwide development program that spaned 12 months with the intent of preparing Associates for a successful career as a Relationship Manager within Bank of America's Global Banking and Markets. - The program stressed the technical knowledge of credit, treasury and client management fundamentals with four rotational assignments. - As an Associate I gained experience through a combination of formal classroom education, live deal exposure, and hands-on learning experiences. - The combination of classroom and hands-on learning is designed to give Associates a foundation of both technical knowledge and skills to further their career. Throughout the program, I reported to the Market Executive and worked closely with Client Managers and Credit & Treasury partners to deepen current bank relationships and uncover new opportunities. - Rotations that I partook in wree Exchange/Rates, Credit, Treasury and Client Management.

Charlotte, Nc, Us

- I was responsible for the active monitoring of Commercial Loans in the Pacific Northwest and the San Francisco Bay. - As a Portfolio Management Officer I had primary accountability for all monitoring and maintenance activities on an assigned client base, primarily larger/complex credit relationships. - I helped mitigate repayment and credit risk through discussions with Risk partners, senior underwriters and credit managers.- Partnered with sales and other credit teammates to ensure timely receipt and analysis of financial statements. - I participated in the internal credit approval process led by Client Manager and/or Credit Products Officers for more complex credits and partnered with the Client Managers/ Credit Products Officers in preparation of Term Sheets. - Finally, I helped call on credit clients and prospects in partnership with the Client Managers as appropriate.

Charlotte, Nc, Us

- As a Credit Analyst I participated in the underwriting of different credit deals (i.e. sole bank, bilateral, or syndicated facilities) and produced detailed financial analysis of the bank's clients' performance to evaluate their financial and repayment strength.- I performed in-depth industry research in order to forecast future trends. - Received formal cash flow, industry analysis, credit, loan structuring and underwriting training through bank approved instructors. - On a day to day basis I participated in Client Team strategy meetings regarding the pursuit of new business opportunities and took part in client contact to obtain information for underwriting reviews, renewals, or new relationships. - Facilitated the monitoring of the ability to repay through income statement, balance sheet, cash flow and industry/management analysis.

Seattle, Wa, Us

As the Lead Operations Coordinator I demonstrated leadership through effective management of a workforce of 20 students and was responsible for training of all new employees. I was able to demonstrate attention to detail through weekly scheduling and daily "schedule of events" planning. Finally, I learned to be an effective communicator through interaction with off and on campus partners.

Bachelor Of Arts (Ba), Economics

Certificate, Data Science Immersive