Profile
I am a B.Tech pre final student at VIT Bhopal specialisation in Artificial Intelligence and Machine learning. I describe myself as an ambitious and a consistent person. The ability to find solutions for any problems be it professional or be it personal and learning through my mistakes is by far the biggest strengths that I posses. I can keep myself motivated in pressurised situations and can stick to the deadlines.
Education
B.Tech Specialization in AIML
VIT Bhopal university 2020 - 2024Class 12th
Krishna Public School 2019 - 2020Class 10th
Krishna Public School 2017 - 2018Skills
- Machine Learning
- UI/UX Designing
- Python
- C/C++
Experience
INTERNSHIP
From Jun 2023 - Jul 2023 | Smart Bridge Pvt Ltd.
- Project: Virtual Eye-Lifeguard
- Implemented cutting-edge solution for swimming pools, achieving real-time detection of active drowning incidents, and reducing response time by 90%.
- Utilized YOLOv5-based application with advanced object detection algorithms, resulting in the identification of 70% potential drowning situations.
- Conducted workload assessments, optimizing operational processes, and achieving a notable 40% increase in productivity, ensuring swift response measures, and maximizing swimmer safety.
- Role: Machine Learning (Image Annotation, Model Training and Testing).
From Jul 2022 - Aug 2022 | Spice Money Pvt Ltd.
- Project: Fraud Payment Prediction
- Led 30-day dataset curation, improving fraud detection by 60% through reliable data for predictive modeling.
- Implemented effective fraud prevention strategies, resulting in a 30% decrease in fraudulent transactions.
- Achieved tangible results through data-driven approaches, leading to a 25% improvement in operational
efficiency and a 10% reduction in customer complaints.
Certificates
Applied Machine Learning in Python(Coursera)
Fundamentals in Data Analytics(NASSCOM FutureSkills Prime)
Data Science(Board Infinity)
Microsoft Azure AI Fundamentals(AI-900)
Projects
From Nov 2023 to Dec 2023 | MEDILINK-ONE HEALTH ONECARD
- Pioneered the conceptualization of the Medilink-One Health One Card project,
outlining strategies for a projected 30% improvement in medical process
efficiency.
- Proposed enhancements for doctor - patient communication, anticipating a 20%
increase in timely diagnosis.
- Designed predictive analytics with CNNs and SVM, with an expect edpotential
for a 25% improvement in early disease detection.
- Outlined innovative health care solutions, targeting a projected 15% overall
enhancement in public health outcomes upon implementation.
- Technology: OpenCV, TensorFlow, and SQLite.
- Team Project: 4 members.
-Role: Machine Learning(Model Training and testing)
From Sept 2023 | Emotion-Face Detection
- Description: Achieved an outstanding accuracy of 92% in emotion detection using a facial expression CNN
model.
- Trained the model on a diverse dataset of 10,000 facial images, ensuring comprehensive coverage of
emotions.
- Demonstrated the effectiveness of the CNN model by accurately classifying emotions such as happiness,
sadness, anger, and surprise with a validation accuracy of 92%, outperforming previous approaches by 15%.
- Technology: OpenCV and deep learning.
- Team Project: 3 members.
- Role: Machine Learning (Data Preprocessing and Model Training).
languages
- English
- Hindi