Vedha priyan Anbuchezhiyan

Combining a Master's in Artificial Intelligence and a Bachelor's in Computer Science Engineering with two years of supervisory experience in customer service, I bring a unique fusion of technical acumen and strong interpersonal skills. As a sociable individual with excellent communication abilities, I thrive in collaborative environments. My passion lies in harnessing Machine Learning and Deep Learning to drive business growth and innovation. Armed with advanced knowledge in AI algorithms and data science methodologies, I specialize in crafting and implementing ML/DL solutions to extract actionable insights and optimize processes. My mission is to bridge the gap between cutting-edge AI technology and real-world business needs, delivering tangible value and strategic impact. Let's connect and explore how AI can revolutionize your organization.

• AWS Academy Graduate - AWS Academy Machine Learning Foundations
• Participated in "Berkeley - FICE Lean Startup Micro Accelerator" training program (07/2018 - 07/2019)
• Participated in the event "CODE HUNTING" held in AVIT College
• Participated in the Conclave on " Professional Development in Business Analytics"
• Certificate program in Intelligent Systems under the Inter College Excellence Program

Music Recommendation System using Meshing learning programming (03/2023 - 05/2023)

My project involved creating a song recommendation system using the Million Song Dataset. I explored methods, encountered challenges, and found collaborative filtering to be most effective, though content-based models had potential with more resources.

Detecting COVID 19 from X-Rays using Deep Learning (03/2020 - 04/2022) 

Had a tie up with Berkeley-FICE Lean startup Micro-Accelerator to do a project on detecting COVID19 using X-Rays.

IoT based Energy Management System for Smart Grid (11/2018 - 11/2019) 

Presented a paper on "IoT based Energy Management System for Smart Grid" at the 7th International Conference on Wind Turbine and Renewable Energy held in Thailand.

Music Recommendation System using Meshing learning programming (03/2023 - 05/2023)

My project involved creating a song recommendation system using the Million Song Dataset. I explored methods, encountered challenges, and found collaborative filtering to be most effective, though content-based models had potential with more resources.

Detecting COVID 19 from X-Rays using Deep Learning (03/2020 - 04/2022) 

Had a tie up with Berkeley-FICE Lean startup Micro-Accelerator to do a project on detecting COVID19 using X-Rays.

IoT based Energy Management System for Smart Grid (11/2018 - 11/2019) 

Presented a paper on "IoT based Energy Management System for Smart Grid" at the 7th International Conference on Wind Turbine and Renewable Energy held in Thailand.