Machine Learning-Credit Card Fraud Detection
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Summary
Implemented a machine learning project focused on real-time credit card fraud detection using Python.
About
A results-driven Computer Science student with practical experience in Machine Learning model development and UI/UX design. Proven ability to enhance system accuracy, optimize user experiences, and deliver impactful technical solutions, as demonstrated by achieving 91% accuracy in autonomous vehicle navigation and securing second place in a credit card fraud detection project.
Work
Internship Studio
|UI/UX Designer – E-commerce Design
Maharastra, Maharashtra, India
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Summary
Designed and developed an eCommerce grocery page, focusing on user interface and experience improvements to enhance functionality and visual appeal under mentorship.
Highlights
Designed and developed an eCommerce grocery page, significantly enhancing user interface and overall user experience for improved functionality and visual appeal.
Utilized Figma to produce engaging and user-friendly interfaces, optimizing design workflows and visual outcomes.
Collaborated under mentorship to refine design concepts, ensuring alignment with user-centric principles and project goals.
Phoenix Global
|Junior Engineer – Machine Learning with Python
Hyderabad, Telangana, India
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Summary
Served as a Junior Engineer, developing and deploying machine learning models to enhance technical expertise in data processing, feature engineering, and model evaluation.
Highlights
Developed and deployed machine learning models, contributing to the enhancement of technical expertise in data processing and feature engineering.
Executed thorough model evaluation processes to ensure robust performance and reliability of deployed ML solutions.
Collaborated closely with an industry mentor, applying best practices throughout the machine learning development lifecycle.
Education
Gandhi Institute of Technology (GITAM)
Visakhapatnam, Andhra Pradesh, India
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Bachelor of Technology
Computer Science and Engineering
Narayana Junior College
Vijayawada, Andhra Pradesh, India
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12th Grade
Intermediate (Andhra Pradesh Board Of Intermediate)
Narayana English Medium School
Rc puram, Andhra Pradesh, India
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10th Grade
Secondary Education (Andhra Pradesh Board Of Secondary Education)
Languages
English
Telugu
Hindi
Skills
Programming Languages
Python, C.
Front-End Development
HTML, CSS.
Databases
MySQL, HeidiSQL.
Tools & Platforms
Git, GitHub, VS Code, Figma, AWS.
Machine Learning
Linear Regression, Decision Tree, Random Forest, Data Processing, Feature Engineering, Model Evaluation, Predictive Modeling, Sensor Fusion.
UI/UX Design
User Interface (UI), User Experience (UX), E-commerce Design, Wireframing, Prototyping.
Interests
Community Service
NSS, Social Initiatives.
Sports
Cricket, Badminton, Team Leadership.
Projects
Predictive Modeling for Autonomous Vehicle Navigation
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Summary
Improved autonomous vehicle localization accuracy in GPS-denied environments through machine learning models.