Embedded C Intern Uniq Technologies
Developed and tested embedded firmware for real-time applications using Embedded C.
Completed a mini-project focused on sensor-based data monitoring and practical embedded-system implementation.
I am an Electronics and Communication Engineering graduate with a strong academic foundation in Python, data analysis, data visualization, embedded systems, networking, and web development.
I have proactively strengthened my analytical skills through data analytics and visualization training, with hands-on exposure to Microsoft Excel, Power BI, automation, and data preprocessing.
My final-year project involved developing a CNN-based solution for renal condition recognition. I worked on data curation, preprocessing, model development, and real-time healthcare visualization using Power BI.
I also have practical internship exposure in Embedded C and AWS cloud computing. Through these experiences, I developed embedded firmware, worked on sensor-based monitoring, and deployed a basic cloud-hosted application using AWS services.
I enjoy solving real-world problems through analytical thinking, automation, and creative technical approaches. I am adaptable, detail-oriented, and committed to continuous learning.
I am seeking an entry-level opportunity where I can contribute my data analytics, Python, visualization, and engineering skills to a forward-thinking organization.
Developed and tested embedded firmware for real-time applications using Embedded C.
Completed a mini-project focused on sensor-based data monitoring and practical embedded-system implementation.
Gained hands-on experience with AWS cloud services including EC2, S3, and Lambda.
Created and deployed a basic cloud-hosted application while exploring serverless computing and automation concepts.
B.E., Electronics and Communication Engineering
CGPA: 8.9
HSC, Bio-Maths
Score: 75.8%
SSLC
Score: 95.8%
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