Summary
Motivated Data Scientist with an MSc in Advanced Computing from the University of Reading. Driven by a passion for AI, machine learning, computer vision, and augmented reality. Proven expertise in optimizing AWS Textract OCR, developing AR applications, and performing data analysis. Strong analytical skills and a commitment to leveraging AI-driven solutions and big data for impactful results.
Overview
5
5
years of post-secondary education
1
1
Certificate
1
1
year of professional experience
Education
Master of Science - Data Science and Advance Computing
08.2022 - 12.2023
- Specialized in Applied Data Science with Python, Artificial Intelligence and Machine Learning, Big Data and Cloud Computing, Data Security and Ethics, Data Analysis and Mining, and Mathematics and Statistics for Data Science.
- Conducted a comprehensive dissertation titled "Enhancing the Accuracy of AI Dash Cams Using Ensemble Deep Learning Model for Improved Driver Drowsiness and Vehicle Collision Alert." This research focused on developing an advanced ensemble deep learning model to improve the detection accuracy of driver drowsiness and potential vehicle collisions, contributing to safer driving experiences.
Bachelor of Science - Electronic and Communication Engineering
08.2014 - 06.2018
- Gained a solid foundation in electronic communication systems, signal processing, and embedded systems.
- Developed technical skills in designing and implementing communication circuits and systems.
- Participated in various projects and practical sessions to apply theoretical knowledge in real-world scenarios, enhancing problem-solving and analytical abilities.
- Engaged in internships and workshops to gain hands-on experience and stay updated with the latest advancements in the field.
Skills
- Applied Data Science with Python
- Artificial intelligence and Machine learning
- Big data and cloud computing
- Data analytics and mining
- Mathematics and statistics for data science
Certification
- Certified with essentials on python
- Essentials on artificial intelligence
- Essentials on data science
- Augmented reality
- AZ 900 [ON GOING ]
- DP 900 [ON GOING ]
Timeline
University of Reading - Master of Science, Data Science and Advance Computing
08.2022 - 12.2023
Data Analyst - Ink Refugee Solutions
04.2021 - 04.2022
Karunya Institute of Information and Technology. - Bachelor of Science, Electronic and Communication Engineering
08.2014 - 06.2018
Work history
Data Analyst
Ink Refugee Solutions
Tamilnadu, India
04.2021 - 04.2022
- Enhanced AWS Textract OCR engine accuracy for improved data extraction from documents.
- Conducted R&D in AI, machine learning, deep learning, computer vision, and front-end development.
- Developed AI models and improved machine learning algorithms for various applications.
- Performed manual testing and quality assurance for AI-driven solutions.
- Collaborated with cross-functional teams to deliver data-driven insights and solutions
Languages
English
Fluent
Tamil
Native
Projects
Projects in Augmented Reality
- Virtual Button Interaction: Developed AR applications with interactive virtual buttons for various actions.
- Video Augmenting: Created AR applications overlaying 3D objects and effects on live video streams.
- Marker-Based Augmented Reality: Designed AR applications using markers for precise virtual content placement.
- Markerless Augmented Reality: Implemented AR techniques using environmental features for content integration.
- Educational and Marketing AR: Built AR apps for educational visualization and immersive marketing campaigns.
Special Projects in AI and Computer Vision
- Face Recognition using OpenCV: Developed a robust face recognition system for security and access control.
- Hand Gesture Recognition using DL: Implemented a CNN-based system for accurate hand gesture classification.
- Label Reading using OCR: Engineered an OCR solution for text extraction and content analysis.
- AI-Driven Solutions: Created AI models for various applications, enhancing user experiences and operational efficiency.
- Data Analytics and Mining: Conducted data analysis and mining for actionable business insights and decision-making.
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