AIPI 510 - Sourcing data for analyticsIn industry, one of the main activities, and challenges, of implementing machine learning applications are collecting data to use in modeling. This course introduces students to methods and tools used for data collection, storage, manipulation, analysis and visualization. The first segment of the course will be an introduction to numerical programming focused on building skills in working with data via the Numpy and Pandas libraries, two of the most common tools used by teams working with data and modeling. Technical aspects covered will include the types of data, methods of sourcing data via the web, APIs, and from domain-specific sensors and hardware (IoT devices), an increasingly common source of analytics data in technical industries. The course also introduces methods and tools for evaluating the quality of data, performing basic exploratory data analysis, and pre-processing data for use in analytics. Non-technical aspects covered include an introduction to data privacy, GDPR, regulatory issues, bias, and industry-specific concerns regarding data usage.

• Working with Duke Learning Innovation and Academic Media Services, script and record engaging video content for self-paced learning experiences.• Develop both in person, synchronous experiences and engaging self-paced experiences.• Identify gaps in existing co-curricular learning tracks and work with relevant stakeholders to continue to iterate and improve on previously built learning experiences.

• Create original STEM based projects that demonstrate basic technological concepts.• Develop technology related video animations that accompany the college textbook "Understanding Computers: Today and Tomorrow".• Design professional grade technology featurettes that have been featured on all major technology blogs such as Gizmodo.com, Lifehacker.com, and Makeuseof.com.•Maintain all facets of the website including design, promotion, content, and user interaction initiatives.

• Oversee Makerspace technology and usage• Create training for Makerspace equipment• Develop usage procedures and processes

- Streamlined legacy data collection methods and improved database management that sped up the data collection process.- Created and instituted a MySQL and PHP driven LMS and tracking system to track samples and chain of custody throughout the facility.- Coded and implemented an iPad specific JQuery Mobile and MySQL visitor sign-in system and database.- Assisted in the creation of our VMWare based Virtual Computing Environment.- Perform preventive maintenance on all computing and networking equipment.

•Developed Visual Basic programs that pulled from raw data to streamline the data mining process and increasing productivity by one third.•Identified at inception and facilitated a fix for severe plant issues that ensured minimal downtime.•Organized a means of consolidating multiple data sets and users into a single dataset that maintains automated server synchronization with multiple users, resulting in a company issued award for process improvement.

•Assisted in establishing a departmental Wiki, that served as a troubleshooting help guide for the plant technicians.•Implemented interactive training materials that established a fast and efficient means of training hundreds of new hires annually.•Administered 3rd tier internal e-mail and chat escalation support to assist Dell technicians which resulted in a 70% reduction of escalated calls.

•Created and launched the waveinc.org website that ran from 2004-2006 and received positive reviews from clients.•After my initial internship, the president of WAVE decided to keep me on as a consultant where I continue maintaining their online presence.•Developed a centralized sharing network that has simplified document sharing and review among employees and the development is still used inside the company.