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Pranay KumarPK
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Pranay Kumar

@pranaykumar1

Electronics & Communication Engineering student focused on Embedded Systems, IoT, and data-driven automation.

India
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What I'm looking for

I’m looking for an entry-level role where I can combine embedded systems and IoT with machine learning, build reliable automation, and use data analysis/visualization to improve outcomes in real projects.

I’m an Electronics and Communication Engineering student with hands-on experience in Embedded Systems, Machine learning algorithms, and IoT. I combine hardware and software thinking to build practical, data-driven, automation-focused solutions.

I’m proficient in Verilog and strong in programming with Python, Java, C++, and SQL, supported by tools like Matlab. For analytics, I use Power BI and Excel to turn data into clear insights and visualization that help drive decisions.

In my projects, I built a Smart HVAC Management System using IoT and AI for real-time monitoring and control, applying AI models to optimize energy efficiency and performance. I also developed distance measurement using an ultrasonic sensor, improving accuracy and dependability through optimized sensor placement and calibration, and worked on Underwater Image Enhancement in Matlab to reduce distortion, noise, and color degradation.

For predictive work, I analyzed AC Input Power Module behavior in an aero-engine using Machine learning algorithms, building a fault prediction system with Random Forest, Logistic Regression, Markov, and Bayesian modules for early detection. I’m currently gaining professional depth through an Independent Verification and Validation internship focused on reliability of an aero engine, and I aim to keep delivering systems that are both technically solid and measurable.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

NE

New Horizon College of Engineering

Bachelor of Engineering (BE), Electronics and Communication Engineering

2022 - 2026

Grade: CGPA: 7.77

Activities and societies: Projects: Smart HVAC Management System (IoT + AI), Distance measurement via ultrasonic sensor, Underwater image enhancement (Matlab), and AC input power module fault prediction for an aero engine using ML (Random Forest/Logistic Regression/Markov/Bayesian). DRDO-GTRE V&V intern (Jan 2026–May 2026).

Pursued a BE in Electronics and Communication Engineering from Nov 2022 to Jan 2026, achieving a CGPA of 7.77. Completed coursework and applied skills in embedded systems, IoT, and machine learning.

SC

St Joseph’s PU College

Pre-University (PCMB), PCMB

2020 - 2022

Grade: Percentage: 74.3%

Completed PCMB at St Joseph’s PU College from Aug 2020 to Sep 2022, with a percentage of 74.3%.

SS

SSB International School

ICSE Education, ICSE

2010 - 2020

Grade: Percentage: 85.4%

Studied under the ICSE curriculum from Mar 2010 to Jun 2020, scoring 85.4%.

Tech stack

Software and tools used professionally

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