VUVyomakesh User
@vyomakeshuser
Aspiring data scientist with expertise in machine learning and blockchain.
United KingdomWhat I'm looking for
I am a passionate data scientist with a strong foundation in machine learning and blockchain technology. My academic journey at Queen Mary University of London has equipped me with the skills to apply quantitative research methods and blockchain programming to real-world challenges. I have a keen interest in leveraging data science to drive innovation and enhance business practices.
During my time at Electronics Corporation of India Limited, I developed a solar tracking system that improved solar panel efficiency by 15%. My projects, including fine-tuning a Telugu emotions text-to-speech model and creating a multi-agent crew for API pen-testing, showcase my ability to tackle complex problems using advanced technologies. I am committed to continuous learning and development in the field of data science.
Experience
Work history, roles, and key accomplishments
Embedded Systems Intern
Electronics Corporation of India Limited
May 2019 - Jul 2019 (2 months)
Developed a solar tracking system with 180-degree mobility, increasing solar panel efficiency by 15% using C. Designed embedded systems for sensor/actuator and hardware/software integration to optimize system performance. Developed electronic circuits and troubleshooting techniques for Arduino systems and microcontroller architectures.
Education
Degrees, certifications, and relevant coursework
Keshav Memorial Institute of Technology ( Aff. JNTU )
Bachelor’s of Technology, Electronics and Communication Engineering
Thesis: Image processing, developed Convolutional Neural Networks (CNNs) for enhanced biopsy image analysis for detection and classification of cellular abnormalities. Analyzed and presented on the significance of System-on-chip (SOC) architecture in advancing next-generation computing performance. Worked on microprocessors and microcontrollers, including designing Very Large Scale Integration (VLSI
QLQueen Mary University of London
MSc in Blockchain in Business and Society, Blockchain in Business and Society
Engaged deeply in subjects such as Quantitative Research Methods, Blockchain programming, and Cryptocurrency principles. Conducted comprehensive studies on blockchain innovation, regulation, and its role in fostering transparency and ethical business practices. Applied machine learning and data science methods to a Bitcoin prediction project gaining practical experience in forecasting cryptocurren
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Job categories
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