I’m a disciplined and driven Electronics & Communication Engineering student passionate about solving problems through data science, machine learning, and human-centered design. With hands-on experience from three+ internships across UI/UX design, electronics testing, and data-driven projects, I bring a rare ability to bridge hardware and software solutions.
I’ve led and contributed to academic and real-world projects using Python, SQL, Pandas, TensorFlow, and Figma, delivering prototypes and solutions that improved user experience, enhanced system performance, and met tight deadlines.
My goal is to contribute to innovative, high-impact projects in data science, machine learning, or product design, while continuously expanding my skills in predictive analytics, data visualization, and emerging AI tools.
Data Science & Machine Learning: Python, SQL, Pandas, NumPy, TensorFlow, Scikit-learn, Predictive Analytics, Data Visualization
UI/UX Design & Tools: Figma, Wireframing, Prototyping, User Research, Design Thinking, MoSCoW Method
Electronics & Hardware: Embedded Systems, Electronics Testing, Quality Control, Calibration, MCU Testing
Professional & Interpersonal: Team Leadership, Project Management, Communication, Problem-Solving, Agile Collaboration
- 🔒 Folder Lock/Unlock in Windows — Simple batch script to protect your folders
- 🌐 Chrome Homepage — Custom CSS for a clean Chrome start page
- 📡 Evil Twin Wi-Fi Attack (Educational) — ESP8266 Wi-Fi security testing tool
The Skillians – Data Science & Machine Learning Trainee
Industry-aligned program covering Python, SQL, Pandas, NumPy, TensorFlow, Scikit-learn, Generative AI, and Prompt Engineering. Completing 700+ exercises and 5+ professional-grade projects based on real-world problem statements.
“Code. Break. Fix. Learn. Repeat.”