Shivang Dave

Computer Science & Engineering student seeking a Data Science Internship, with hands-on experience building Python/SQL solutions for data preparation and visualization. Delivered 3 end-to-end tools, including a no-code data cleaner with 4+ automated cleaning actions (dedupe, missing-value handling, filtering, CSV/JSON export) and a vector calculator supporting 6 core operations. Recognized for academic excellence and selected for competitive programs (Stanford Code in Place; EDC, IIT Delhi). Interested in turning raw datasets into clear insights through reproducible analysis and effective storytelling.

• DPAC Data Cleaner (No-Code Data Cleaning Tool), Developed a user-friendly application to clean raw CSV datasets without coding. Implemented duplicate removal, null handling, filtering, and structured CSV/JSON export. Built the data-processing pipeline using Python (pandas) and an intuitive GUI for non-technical users. Streamlined preprocessing to reduce manual cleaning effort.
• Electrical Engineering Data Visualization Tool (DPAC), Built a GUI-based system for electrical data analysis and real-time visualization. Enabled CSV import, interactive plotting, axis labeling, and exportable graphs. Designed clear layouts and controls tailored for engineering datasets. Facilitated faster analysis and improved interpretability of signals and measurements.
• Vector Calculator, Created an interactive mathematical tool for vector operations and visualization. Implemented addition, subtraction, magnitude, dot/cross products, and angle calculations. Provided graphical visualization of vectors to aid learning and verification. Designed a simple interface for academic use and demonstrations.

• Title: Data Science Enthusiast
• Nationality: Indian
• Place of Birth: Vadodara, Gujarat, India