Giridhar Patil

Enthusiastic Engineer with a strong interest in machine learning and Computer Vision. Demonstrated leadership skills through active roles in club activities and event management. Possess excellent social skills, enabling effective communication and teamwork.

Accenture - Data Analyst Virtual Internship

• Collaborated with Accenture team members, including industry, IPO, and data experts, to ensure a comprehensive approach to project execution.
• Analyzed client project briefs to understand the business problem and identify key requirements.
• Focused on specific tasks essential to the data analysis process, ensuring accurate and actionable insights were delivered to the client.

• AttendEase [OpenCV, Python]

Machine learning-based attendance system leveraging Python and the OpenCV library for facial recognition. It efficiently identifies individuals and logs their attendance in an Excel file, including the precise time of entry.

GitHub: https://github.com/gpatilll/face-recognition-attendance 

• Autonomous Fire Extinguishing Bot [IOT, C Programming]

Developed an autonomous fire-fighting robot using an Arduino microcontroller, programmed in C. The robot is equipped with fire detection sensors capable of sensing fire within a 2-meter radius and extinguishing it using the water pump.

GitHub: https://github.com/gpatilll/FireFightercode

• CarPredictX [Jupyter, Linear Regression]

Developed a car price prediction model using linear regression to estimate prices based on factors such as kilometers driven and age. Implemented the backend with Python and scikit-learn, and designed the frontend using Flask. The project was documented and executed in Jupyter Notebook.

GitHub: github.com/gpatilll/carpricepredict