Andey is

Microsoft2022

Product Manager Intern

• Interviewed and aggregated data of PM stakeholders to identify insights from pain points in their methods of inconsistent metrics for measuring OKR's
• Iterated on a dynamic dashboard, and designed visualizations to create analytics to identify patterns on how to optimize OKR progress for quarter planning

Salesforce2021

Technical Program Manager Intern

• Roadmapped and identified the integration of Natural Language Processing pipelines to identify social engineering in call centers
• Developed security playbooks to mitigate potential threats and ethical implications in voice recognition and AI systems

HP2021

Product Manager Intern

• Determined user pain points to design transformative experiences on Chromebooks through implementing emerging technologies
• Analyzed new verticals for Education Chromebooks to further HP's domestic and global Philanthropy

Yahoo2020

Software Engineering Intern

• Published paper on developing machine learning programs in site reliability engineering tools to classify cross-metric statistics and queries
• Reduced unresolved period of incidents by 380% by automating debugging methods that identify failure details in the email application stack

Unum2019

Cybersecurity Intern

• Developed and deployed honeypot Deceptors on Symantec software that generate alert systems when hackers penetrate the network
• Used Python and Splunk’s Machine Learning Tool Kit to blacklist threats and automate alert processes for the Incident Report Handling Team

Carnegie Mellon University2020–2022

67-250 Teaching Assistant

• Enhance Curriculum to prepare students with relevant technology stacks for industry
• Mentor students to guide their understanding in the potentials of Information Systems through recitations and office hours

Carnegie Mellon University2022

Semiconductor Shortage Research Assistant

• Developed a bot with Python and Selenium to web scrape and retrieve semiconductor data sheets from NXP’s dynamic website
• Analyzed insights to identify semiconductor design commonalities among categories (i.e. automotive vs industrial applications)

Carnegie Mellon University2019 · 2020–2021

Data Science Research Assistant

• Web scraped and topic modeled Congressional speeches with Python to develop a computer-aided program that indicates latent variables of international relationships during the Cold War
• Created automated Natural Language Processing (NLP) analysis with Python to identify Senator’s sentiments through speech texts regarding policies

Carnegie Mellon University2020

Intelligent Tutor Research Assistant

• Designed user tests that enhance users’ trust of cognitive tutoring program between AI system teachers peer collaboration
• Prototyped dashboards to vet biases in stakeholders such as teachers in designing fair algorithms and ethical policies and protocols

Carnegie Mellon University2019

Computer Vision Research Assistant

• Tested computer vision algorithms to develop classroom technology to provide personalized feedback of students to indicate how teachers can improve
• Used OpenCV’s ArUco markers on Virtual Reality headsets to further Simultaneous Location and Mapping (SLAM) and Stereo Depth Vision research

Serendipity2014–2022

Founder and Instructor

• Developed curriculum tailored for special education students to comprehend basic drag-and-drop programming and exercise motor skills with Lego robotics
• Founded robotics programs at 4 local educational development companies that empower and promote students through STEM education and principles