Face Recognition Attendance Management System
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Summary
Developed an automated attendance system leveraging face recognition technology to enhance accuracy and efficiency.
Results-driven Bachelor of Computer Application graduate with hands-on experience in data analysis, machine learning model development, and data visualization. Eager to leverage strong Python, SQL, and analytical skills to contribute to innovative data science initiatives and solve complex problems within a dynamic organization. Demonstrated ability to automate processes and derive actionable insights from real-world data.
Data Science Internship
Manipal, Karnataka, India
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Summary
Successfully contributed to real-world data analysis projects, developing machine learning models and creating impactful visualizations to derive actionable insights.
Highlights
Executed end-to-end data analysis projects, translating complex datasets into actionable insights that informed strategic decisions.
Streamlined data preparation workflows by cleaning and processing diverse datasets using Python and SQL, improving data quality by an estimated 15%.
Developed comprehensive data visualizations and reports using Power BI, enhancing data interpretability for stakeholders and supporting data-driven decision-making.
Constructed and evaluated foundational machine learning models (e.g., classification, regression) to identify patterns and predict trends, improving predictive accuracy by up to 10%.
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Bachelor
Computer Application
Courses
C Programming
Basics of Computer
C, Python.
Pandas, NumPy, SQL, Power BI, Data Cleaning, Data Processing, Data Visualization.
Machine Learning Models, Predictive Modeling.
Image Processing, Face Detection, System Automation, Problem-Solving, Analytical Skills.
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Summary
Developed an automated attendance system leveraging face recognition technology to enhance accuracy and efficiency.