Chandra Sekhar Nimmana

A results-driven Embedded Test Engineer with two years of experience in model-based development and qualification testing, seeking to transition into a MATLAB Model Developer role. Passionate about developing, simulating, and optimizing control algorithms using MATLAB/Simulink for embedded systems. Eager to leverage my expertise in model-based design, validation, and debugging to contribute to innovative projects in the automotive industry.

• ECET examination conducted by ‘AP - State Board of Technical Education and Training’, 05/16, Secured 76th rank in this engineering entrance exam in the state of A.P.
• POLYCET examination conducted by ‘AP - State Board of Technical Education and Training’, 04/13, Secured 817th rank in this polytechnic entrance exam in the state of A.P.
• GATE 2020 conducted by AICTE, 03/20, Secured All India rank 13356 in electrical engineering.

ISTQB Foundation Level

This is a foundation-level certification for testing, which is given by the National Testing Board

Advance Python Programming

This course's objective is to provide an intermediate level of Python programming through LinkedIn Learning courses

Advanced Driver Assistance System

This course deals with ADAS features in cars, and it will provide an insightful view of the level of ADAS in autonomous driving It gives information about various sesnors etc. It provides information about various testing methods in the V cycle

Iris Recognition by using Ensemble Learning from a deep learning perspective (M.TECH), 03/22, 10/22, 

Developed an advanced iris recognition system leveraging deep learning and ensemble learning techniques to enhance accuracy and robustness., The project involved preprocessing iris images, feature extraction using convolutional neural networks (CNNs)., Used Daugman’s rubber sheet model for preprocessing of eye images. Applied boosting method (Ensemble learning) to improve accuracy of results by combining ANN, SVM, K-NN models., Evaluated metrics like accuracy, precision, recall, and F1-score. 

Energy Harvesting using solar energy and piezoelectric effect for IOT applications (B. TECH), 11/18, 05/19,

 Focused on piezoelectric energy harvesting as one of the most promising solutions to power IoT devices., Researched piezoelectric energy harvesters in providing a consistent source of energy., Proved that generating electricity from piezoelectric energy harvesters is better than conventional energy harvesting sources., Supported my team in model computation and building model.

• Cricket
• Books
• Flute playing