Highly motivated Computer Science Engineering student with a strong foundation in Machine Learning, Deep Learning, and data analysis, demonstrated through impactful projects and internships. Eager to apply diverse programming skills in Python, C++, and Java, coupled with expertise in scikit-learn, pandas, and CNNs, to develop innovative solutions in data-driven environments. Passionate about continuous learning and leveraging cutting-edge technologies to solve complex real-world problems and drive significant advancements.
Data Science and Machine Learning Intern
Bengaluru, Karnataka, India
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Summary
Contributed to predictive modeling initiatives by building and evaluating robust machine learning models on diverse real-world datasets.
Highlights
Developed and rigorously evaluated multiple predictive models using Python, pandas, and scikit-learn, enhancing model accuracy and reliability for real-world applications.
Applied various machine learning algorithms, including classification and regression, to extract actionable insights from complex datasets.
Gained practical experience in data preprocessing, feature engineering, and model validation techniques to optimize predictive performance.
Data Science and Machine Learning Intern
Bengaluru, Karnataka, India
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Summary
Assisted in data handling and developed classification solutions for critical tasks, including spam filtering.
Highlights
Processed and managed large datasets, ensuring data quality and integrity for subsequent analytical tasks.
Implemented and optimized classification algorithms for spam filtering, contributing to improved detection rates and reduced false positives.
Collaborated with the team to understand data requirements and deliver effective solutions for specific classification challenges.
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B.E.
Computer Science and Engineering
Grade: 8.63 CGPA
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Pre-University Course
PCMC (Physics, Chemistry, Mathematics, Computer Science)
Grade: 90.16%
SQL, Relational Databases.
Node.js, Express.js, Responsive Design, User Interface (UI) Development.
Python, C++, C, Java (Basic).
scikit-learn, pandas, numpy, matplotlib, Predictive Modeling, Classification, Deep Learning, Convolutional Neural Networks (CNNs), Data Preprocessing, Model Evaluation.
Data Analysis, Problem Solving, System Design, Healthcare Analytics.
Photography, Video Editing.
Travelling.
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Summary
Developed an intelligent Machine Learning-based system designed to predict the likelihood of multiple diseases from comprehensive patient data, facilitating proactive healthcare management and personalized insights.
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Summary
Engineered a deep learning model utilizing Convolutional Neural Networks (CNNs) for the accurate detection and classification of pneumonia from medical images, significantly enhancing diagnostic efficiency and precision.
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Summary
Designed and developed a comprehensive web application for efficient blood bank management, integrating Node.js and Express.js to ensure robust backend functionality and intuitive user interfaces.
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Summary
Developed a comprehensive relational database system using SQL to support real-time decision-making and efficient management of railway operations.