Open to opportunities

Rasika R

@rasikar

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M.Sc. Computer Science graduate skilled in Python, Java, web development, and data science.

India

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What I'm looking for

I seek a role that leverages data science and software development to solve real-world problems, offers mentorship, collaborative culture, and opportunities to build impactful projects.

I am an M.Sc. Computer Science graduate with hands-on experience in software development and data science. I completed a Data Science internship where I built a banking fraud detection system using Logistic Regression and Random Forest, improving accuracy through careful preprocessing.

My projects include an E-Waste Awareness Campaign System with a user portal, Google Maps integration, and an admin dashboard that increased engagement by 40%. I also developed detection methods for data leakage using classification and anomaly detection techniques.

I am proficient in Java, Python, Django, Spring Boot, Pandas, NumPy, Scikit-learn, MySQL and PostgreSQL, and familiar with Git, Figma and Photoshop. I focus on practical solutions that improve system accuracy and user engagement.

I bring strong problem-solving, leadership and time-management skills and seek roles where I can apply data science and full-stack development to solve real-world problems and contribute to innovative teams.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Livewire

Jan 2024 - Jun 2024 (5 months)

Developed a banking fraud detection system using Logistic Regression and Random Forest, improving model accuracy by 15% through data preprocessing and feature engineering.

Python Pandas NumPy scikit learn Machine Learning data preprocessing Fraud Detection Model Evaluation

Software Developer (Project)

Self-Directed Project

Built an e-waste awareness portal with Google Maps integration and admin dashboard, increasing user engagement by 40% through interactive features.

HTML CSS JavaScript MySQL Google Maps UI UX Dashboard Development

Data Science Project Lead

Academic Research

Implemented detection models to pinpoint data leakage from advanced persistent threats, conducting classification and anomaly detection experiments to improve security monitoring.