“I had the pleasure of working with Princy at Giskard. During our time working together, Princy consistently demonstrated an exceptional level of professionalism and dedication to her work. She was always curious to learn more and took initiative to improve our application with her ideas and suggestions. She was responsible for writing important codes for our tests which would detect bias and performance of the models. She's intelligent and honest, and she had the ability to bring the team together for a common purpose. As a data scientist, she would give her best to understand the requirements and had the ability to put through her concerns and doubts to get to the core understanding of the issue. Her ability to analyse and interpret data, and to communicate findings in a clear and concise manner, has proven invaluable in our projects. Moreover, Princy is a dedicated team player who consistently goes above and beyond to ensure the success of our projects. She is able to collaborate effectively with colleagues from diverse backgrounds, and is always willing to share her knowledge and expertise to support the team's goals. Her skills, professionalism, and dedication make her an asset to any organization, and I am confident that she will make significant contributions to any team she works with.”
About
Experience & Education
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Income Insurance Limited
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Licenses & Certifications
Volunteer Experience
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Volunteer
Friend a senior
- Present 2 years 4 months
Social Services
I am volunteering for Friend a Senior in Singapore which is an initiative by Singaporean government to help people connect with Seniors to befriend them and help them
Projects
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Drone Face Tracking
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Developed a face tracking drone . For face detection, I explored Haar-cascade to perform detection without GPU utilization and explored Dlib's Face Recognition library to implement face detection using GPU . Maneuvering of the drone was implemented based on the proportion and derivative controller and the speed was controlled using the same . Code available on request .
Here is the link to see the drone face tracking in action :…Developed a face tracking drone . For face detection, I explored Haar-cascade to perform detection without GPU utilization and explored Dlib's Face Recognition library to implement face detection using GPU . Maneuvering of the drone was implemented based on the proportion and derivative controller and the speed was controlled using the same . Code available on request .
Here is the link to see the drone face tracking in action : https://www.linkedin.com/posts/princy-pappachan-0b278879_computervision-python-drone-ugcPost-6774597298249961472-h312 -
Drone Facial Recognition
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1. Reads data from an existing database containing the record of missing people.
2. Facial Recognition : Google FaceNet's MTCNN model extracts the face from the images and Inception ResnetV1 provides the embeddings of the face and is stored along with the data retrieved from database in ".pt" file, implemented on Pytorch and compared with the faces transmitted live by drone.
3. Navigation of drone : Pygame is used to navigate the drone.
4. If we want to send the data across via API…1. Reads data from an existing database containing the record of missing people.
2. Facial Recognition : Google FaceNet's MTCNN model extracts the face from the images and Inception ResnetV1 provides the embeddings of the face and is stored along with the data retrieved from database in ".pt" file, implemented on Pytorch and compared with the faces transmitted live by drone.
3. Navigation of drone : Pygame is used to navigate the drone.
4. If we want to send the data across via API call to a different server, a POST API request is made, transmitting the data of the detected person .
Languages
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English
Native or bilingual proficiency
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French
Professional working proficiency
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Hindi
Native or bilingual proficiency
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Malayalam
Native or bilingual proficiency
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Tamil
Elementary proficiency
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Marathi
Native or bilingual proficiency
Recommendations received
3 people have recommended Princy
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