Face Recognition Attendance Management System
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Summary
Developed a comprehensive face recognition-based attendance system using Python, enhancing efficiency and accuracy in record-keeping for administrative tasks.
Motivated and detail-oriented BCA student with a strong foundation in Python, C programming, and core Data Science concepts, actively seeking entry-level opportunities in software development or data-related fields. Eager to apply honed technical and analytical skills, demonstrated through real-world data analysis projects and a face recognition system, to contribute to innovative solutions and drive data-driven decision-making.
Data Science Intern
Manipal, Karnataka, India
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Summary
Contributed to real-world data analysis projects, gaining practical experience in diverse datasets and data science workflows.
Highlights
Cleaned and processed large datasets using Python (Pandas) and SQL, ensuring data integrity and readiness for analysis.
Generated insightful data visualizations and comprehensive reports using Power BI, translating complex data into actionable insights for stakeholders.
Developed and implemented basic machine learning models (e.g., classification, regression) to identify patterns and predict outcomes.
Enhanced analytical and problem-solving capabilities through hands-on application in complex data challenges.
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Bachelor of Computer Applications (BCA)
Computer Applications
Courses
C Programming
Basics of Computer
C, Python.
Pandas, NumPy, OpenCV.
Power BI, VS Code.
Flask.
Data Cleaning, Data Processing, Data Visualization, SQL.
Model Development, Predictive Modeling.
System Design, User Registration, Module Implementation.
Analytical Skills, Complex Data Challenges.
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Summary
Developed a comprehensive face recognition-based attendance system using Python, enhancing efficiency and accuracy in record-keeping for administrative tasks.