Email Spam Detection using Machine Learning
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Summary
Developed a machine learning model to accurately identify and filter spam emails, enhancing security and productivity.
Highly motivated Computer Science student with practical experience in SQL database management, machine learning, and cloud computing. Developed an Email Spam Detection model achieving 98.9% accuracy and enhanced data retrieval efficiency during a SQL internship. Eager to leverage strong problem-solving skills, AWS and Azure certifications, and a proven ability to learn and adapt quickly to contribute to innovative projects and organizational growth.
SQL Intern
Mumbai, Maharashtra, India
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Summary
Executed SQL queries and collaborated with team members to optimize data solutions, gaining practical experience in real-world business scenarios.
Highlights
Developed and executed complex SQL queries to retrieve, manipulate, and analyze data, supporting efficient data-driven decision-making.
Collaborated with cross-functional teams to understand data requirements and develop optimized SQL solutions, improving data accessibility and utility.
Applied core SQL concepts to real-world business scenarios, gaining practical experience in database management and data manipulation.
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Bachelor of Technology (B.Tech)
Computer Science Engineering
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Class XII
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Class X
Awarded By
Skill Contest Organizer (Inferred)
Achieved a top 4% ranking out of all participants in India's largest skill contest, recognized for exceptional problem-solving abilities and technical proficiency.
Issued By
Naukri
Issued By
AWS Academy
Issued By
HackerRank
Issued By
Microsoft
Issued By
Celebal Technologies
Python, SQL, C++, C.
Naive Bayes, Scikit-learn, Pandas, Email Spam Detection, Algorithm Development.
Cloud Computing, AWS, Azure.
SQL Queries, Database Management, Data Retrieval, Data Analysis, Data-driven Decision Making.
Software Development Fundamentals, Problem-Solving, Project Leadership, System Design.
Analytical Skills, Communication, Teamwork, Adaptability, Time Management, Leadership, Detail-Oriented, Fast Learner, Self-Motivation.
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Summary
Developed a machine learning model to accurately identify and filter spam emails, enhancing security and productivity.
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Summary
Designed and implemented a SQL procedure and dedicated table for accurate and efficient time tracking.