Akit Kumar
Research Assistant | Technology adoption explorer | Data Science & Project Management Professional
- Role
- Research Assistant at Syracuse University School Of Information Studies
- Location
- Syracuse, NY, US
- LinkedIn followers
- 500 followers
About Akit Kumar
In the due course of my masters program, I have gained both conceptual and practical knowledge by developing projects in Machine learning algorithms, Natural language processing, Computer networks, Data analysis, Data mining, and Database management.Previous worked Experience:I have worked for 5 years in the software industry as a Software Engineer, Automation Engineer, and QA Engineer. Projects:1. Determining the best clustering technique among correlation, SIC industrial classification, and similar product classification, suitable for clustering-based portfolio management. Designed various Text correction software using techniques like n-gram, SymSpell, and python NLP libraries.3. Designed product recommendation software that will suggest based on customers\' previous history and supermarket database using Eclat and Apriori Algorithm.4. Software that would capture live feed of packets from network adaptor and unwrap various layers of network protocol and their classifications.
Experience
Research Assistant
Syracuse University School Of Information Studies
Feb 2021 — Present · Syracuse, NY, US
As a Research Assistant at Syracuse University’s School of Information Studies, I specialize in Generative AI and its applications in data science project management and education. My research focuses on developing AI-driven tools to streamline project workflows, including interactive bots that provide real-time guidance for managing complex data science tasks. I am also involved in studying social networks and the diffusion of misinformation, applying advanced machine learning and NLP techniques to analyze and understand digital behaviors.In my next phase of research, I am utilizing the Technology Acceptance Model (TAM2) and Unified Theory of Acceptance and Use of Technology (UTAUT) to study the factors affecting the acceptance of generative AI by data scientists. An extension of this research will explore the factors influencing the adoption of generative AI by instructors and students.
Skills
- Sql
- Sas
- Python
- Apache Spark
- Statistics
- Analytics
- R
- Hadoop
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