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SYED MAYSUM ABBAS ZAIDI
Aspiration Statement
I want to pursue my postgraduate studies in Power Electronics or Data Science. As I am interested to get concentrated knowledge regarding circuit design and power converters. Secondly, I am interested in the field of Machine Learning as well. Asa career I want to work on R&D-oriented projects.
Core Skills
- C++, HTML, CSS, Python and implement them in the field of Machine Learning
- Packet Tracer, Matlab, Maple, Solid Edge ST9 and LabVIEW
- OrCAD Circuit Design and Siemens PSSE Software
- Program PLC and can use microcontrollers like Arduino, Nodemcu and Raspberry Pi
Academic Awards / Achievements
- Alma Mater Studiorum - Università di Bologna - MEng in Electrical and Electronics Engineering
- 80% Merit Scholarship – Habib University
Experience
Leadership / Meta-curricular
- Technical Project Management workshop given by Dr. M. Ali Qadir in Habib University - Participant
- Power Generation, Distribution & Transmission Workshop - Participant
- Introduction to SQL - Certification by DataCamp
- Habib University Convocation'21 - Coordinator
Internship / Volunteer Work
- HBL - Product Growth - Assistant Manager
- US Mobile - Product Support Specialist
- O Level students - Teacher
Publications / Creative Projects
- Children Vital Sign Monitoring Device: Wearable device to measure heart rate and temperature, transmit data to Internet.
- FM Generation using a voltage control oscillator.
Final Year Project
Project Title
Non-Invasive Glucose Meter with Diagnoses of Diabetes using Machine Learning
Description
Non-Invasive Glucose Meter with Diagnoses of Diabetes using Machine Learning. We are designing a complete diabetes management system that will consist of two important stages pre-diagnosis and diagnosis of diabetes. The first stage consists of the development of a wearable non-invasive glucose meter device whose data will continuously be sent over the internet to a cloud database server where the second stage of diagnosis which will consist of a trained Machine Learning Algorithm will be used to compute the chances of the particular user of having diabetes. The final aim is to make an integrated device which will be connected through a web application so that a person will be aware of sugar levels and will be able to diagnose diabetes comfortably. (Group Project)
Project Pictures
