Anushree Misra
Technical Analyst (Data) at Arizona State University (ASU)
About
I'm Anushree Misra, a Technical Analyst and Learning Technologist at Arizona State University. My career has been a journey through the intersections of data, software development, and project management, backed by a Master's in IT Project Management and a background in Electronics Engineering. I am deeply passionate about Responsible AI and EdTech, specifically how we can use data storytelling and intelligent systems to enhance learner experiences while maintaining ethical standards. Whether I'm winning hackathons with bot prototypes or building 'weekend projects' like pixel-art task managers, I focus on creating scalable systems that provide actionable insights. I love sharing what I know through Medium articles and LinkedIn guides, and I'm always looking to connect with others in the data, cloud, and software engineering spaces to build digital products that make a real impact.
Networking
What I can offer
- ›Technical expertise at the intersection of business strategy and scalable digital products
- ›Data visualization and actionable insights
- ›Guidance for beginners in data and AI
Looking for
- ›Opportunities in Data Analytics, Software Engineering, and Cloud Solutions
- ›Collaborative innovation in EdTech
- ›expanding my professional network
- ›exploring mutual opportunities in [their industry]
Best fit for
Current Interests
Background
Career
Began with internships in data and marketing, transitioned through software development and IT consulting roles, and currently serves as a Technical Analyst and Learning Technologist at ASU.
Education
Master’s Degree, IT Project Management from Arizona State University (2022 – 2023); B.Tech, Electronics and Communication Engineering from Guru Gobind Singh Indraprastha University (2017 – 2021).
Achievements
- ›Won three categories at the ASU EdPlus Hackday 2025
- ›Improved strategic decision-making by 25% at Central Agroforestry Research Institute
- ›Doubled operational efficiency as a Student Success Aide using PeopleSoft and Salesforce
- ›Maintained a 4.0 GPA during Master's program
- ›Boosted customer response rates by 30% via interactive email systems
Opinions
- Responsibility in AI must be a practical checklist rather than a vague concept.
- Data cleaning is the most critical and time-consuming phase of analysis, often overlooked by beginners.
- The quality and creativity of the team drive daily engagement more than the mission alone.
- Users should actively manage data sovereignty and opt-out of AI training on professional platforms.