Pranay Kumar
@pranaykumar1
Electronics & Communication Engineering student focused on Embedded Systems, IoT, and data-driven automation.
What I'm looking for
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
Independent V&V Intern
DRDO - GTRE
Jan 2026 - May 2026 (4 months)
Worked as an Independent Verification and Validation intern on aero-engine reliability at DRDO–GTRE (Gas Turbine Research Establishment).
Education
Degrees, certifications, and relevant coursework
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.
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%.
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%.
Availability
Location
Authorized to work in
Job categories
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