Driver Drowsiness Detection System
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Summary
Developed using Python, Keras, and OpenCV for real-time fatigue detection.
About
Highly motivated Data Science postgraduate with a robust foundation in mathematics, statistics, and programming, specializing in machine learning, deep learning, and computer vision. Proven ability to build advanced predictive models and extract actionable insights from complex, structured datasets using Python, SQL, and Power BI. Eager to leverage expertise in data fusion and real-world project experience to develop impactful, data-driven solutions within the IT industry.
Education
Vellore Institute of Technology
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Master of Science
Data Science
Grade: 8.68 GPA
Kannur University
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Bachelor of Science
Mathematics
Grade: 9.094 CGPA
Directorate of Higher Secondary Education, Kerala
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Higher Secondary Education
Biology Science
Languages
English
Tamil
Malayalam (Native)
Certificates
Oracle Database Design and Database Programming with SQL
Issued By
Oracle
Interactive Data Visualization (Power BI, Tableau)
Issued By
Various (Implied from VAC2317)
Supervised Machine Learning: Regression and Classification
Issued By
Various (Online Learning Platform)
Skills
Programming Languages & Tools
Python, SQL, Excel (Advanced), Power BI, OpenCV.
Machine Learning Libraries & Frameworks
pandas, NumPy, scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, EfficientNetB0, DNN, CoAtNet.
Data Science Methodologies
Exploratory Data Analysis (EDA), Data Cleaning, Trend Analysis, Regression, Classification, Data Visualization, Deep Learning, Computer Vision, Data Fusion, Predictive Modeling.
Soft Skills
Communication, Collaboration, Attention to Detail, Analytical Problem-Solving.
Projects
Enhanced Crop Disease Identification and Soil Analysis Using Deep Learning
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Summary
Designed with Python, EfficientNetB0, and DNN for multi-modal data analysis.
Enhanced Brain Tumor Segmentation
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Summary
Segmentation model developed using CoAtNet and MRI/PET/CT fusion.