Age Gender Detection
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Summary
A full-stack web application designed for real-time age and gender prediction using a Convolutional Neural Network (CNN) model.
Highly motivated B.Tech student specializing in Data Science with practical experience in developing and deploying machine learning models. Proven ability to enhance model precision by up to 95% through advanced feature engineering and data analysis, coupled with robust full-stack application development. Eager to leverage strong technical skills in Python, TensorFlow, and Flask to contribute to innovative AI/ML solutions in a dynamic environment.
DATA SCIENCE INTERN
Remote, India, India
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Summary
Designed and optimized machine learning models, significantly enhancing predictive precision through advanced data analysis techniques.
Highlights
Developed robust machine learning models utilizing Scikit-learn, coupled with comprehensive data analysis to extract actionable insights.
Successfully enhanced model precision to 95% through targeted feature engineering and the application of advanced algorithms.
Visualized key data insights using Matplotlib and Seaborn, providing clear support for effective model interpretation and decision-making.
DATA SCIENCE INTERN
Remote, India, India
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Summary
Developed and deployed an Age and Gender detection model, integrating machine learning solutions into a real-time Flask application.
Highlights
Developed an Age and Gender detection model using TensorFlow/Keras, achieving 80% accuracy in identifying demographic attributes.
Deployed a real-time Flask application, facilitating seamless model integration and accessibility for end-users.
Preprocessed and augmented image datasets, significantly improving model robustness and generalization capabilities.
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B.Tech
Computer Science Engineering (Data Science Specialization)
Grade: CGPA: 8.09/10
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High School Diploma
Science
Grade: Class 12th: 78%, Class 10th: 75%
Issued By
Coursera
Issued By
NPTEL
Issued By
CAD-X
Issued By
Geeks for Gurukul
Issued By
PMKVY (Skill India)
Issued By
Tech Tank
C++, Python.
HTML, CSS, JavaScript.
Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, OpenCV, Flask.
Machine Learning, Deep Learning, CNN, Model Development, Feature Engineering, Model Deployment, Data Analysis, Image Processing, Random Forest, Gradient Boosting.
DBMS, MySQL, SQL.
Data Structures & Algorithms, Object Oriented Programming.
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Summary
A full-stack web application designed for real-time age and gender prediction using a Convolutional Neural Network (CNN) model.
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Summary
An application that identifies fake profiles by implementing machine learning models and analyzing user data for behavioral patterns.