This resume presents the academic background, technical skills, and project experience of Jaydeep Parmar, a dedicated Information and Communication Technology (ICT) student at Pandit Deendayal Energy University (PDEU) with a CGPA of 9.4/10. It highlights key competencies in Python, C, SQL, and Java, along with hands-on experience in data science, embedded systems, and deep learning applications. Major projects include: GNSS Anti-Spoofing & Anti-Jamming using Deep Learning — enhancing satellite navigation security. Water-Level Detector — a practical analog system with visual and audio alerts. Certifications such as NPTEL – Python for Data Science demonstrate a strong foundation in data analysis and model implementation. Jaydeep aims to apply his skills in AI, data science, and embedded system development to drive technological innovation. 📩 Contact: 23bit133@sot.pdpu.ac.in It highlights key competencies in Python, C, SQL, and Java, along with hands-on experience in data science, embedded systems, and deep learning applications. Major projects include: GNSS Anti-Spoofing & Anti-Jamming using Deep Learning — enhancing satellite navigation security. Water-Level Detector — a practical analog system with visual and audio alerts. Certifications such as NPTEL – Python for Data Science demonstrate a strong foundation in data analysis and model implementation. Jaydeep aims to apply his skills in AI, data science, and embedded system development to drive technological innovation. 📩 Contact: 23bit133@sot.pdpu.ac.in

1. Jaydeep Parmar
23bit133@sot.pdpu.ac.in | LinkedIn/Jaydeep-Parmar| GitHub/Jaydeep-Parmar
Skills
Education
Project
Pandit Deendayal Energy University , Raysan, Gandhinagar, Gujarat,
382426 Bachelor of Technology , Information and Communication
technology Cumulative GPA : 9.40/10 Graduating Year : 2027
Water-Level Detector Project :
Developed an analog water-level detector using conductive sensors, with circuit-based visual
and audio alerts for efficient water management
Data Science Projects :
Developed data science projects using Python, focused on data preprocessing, EDA, and
machine learning for real-world prediction and visualization tasks.Collaborated with teams to
deploy models and deliver actionable insights from data
Certifications
NPTEL – Python for Data Science
Completed: July–August 2025Earned certification after completing intensive coursework and
assessments covering Python programming, data manipulation, visualization, and statistical
analysis using libraries such as Pandas, NumPy, and Matplotlib.Demonstrated proficiency in
implementing data science techniques for real-world applications using Python.
Programming: Python, C, SQL, Java
Tools & Systems: MATLAB, ANSYS, MICROCAP, Linux (Ubuntu)
Domains: DSP, DBMS, ACD, RF, IS
GNSS Anti-Spoofing & Anti-Jamming with Deep Learning
Developed neural network models to detect and mitigate GNSS
spoofing/jamming.
Enhanced positioning reliability with real-time threat response.