Rashmitha Mothe

Master’s graduate in Computer Science with a strong foundation in data structures, algorithms, and software development. Built machine learning and full-stack applications using Python, Java, and SQL and worked with SAS for clinical data processing. Seeking a Software Development Engineer role to apply technical skills in building scalable and data-driven systems.

Programming: Python, Java, C, C++
Web: JavaScript, HTML, CSS
Databases: SQL (MySQL, PostgreSQL)
Machine Learning: Scikit-learn, Pandas, NumPy
Tools & Platforms: Git, AWS (EC2, S3), SAS
Concepts: Data Structures, OOP, REST APIs, SDLC, Agile

Credit Card Fraud Detection System

• Built a machine learning–based fraud detection system using Python and Scikit-learn to identify fraudulent credit card transactions from large historical datasets.
• Implemented data preprocessing and feature engineering using Pandas and NumPy to handle highly imbalanced data and improve model performance.
• Trained and evaluated multiple classification models using precision, recall, and ROC-AUC to optimize fraud detection effectiveness.
• Designed a modular ML pipeline to support scalable experimentation and model tuning.

Full-Stack Web Application (Hackathon Project)

• Developed a full-stack web application using Python and JavaScript to solve a real-world problem in a team-based hackathon environment.
• Built backend services and RESTful APIs using Python to process user input and manage application data.
• Integrated frontend components using HTML, CSS, and JavaScript to enable dynamic user interaction and data visualization.
• Used Git and Agile development practices for version control and collaborative development.

Data Mining & Analytics Project

• Built a data analytics solution using machine learning and data mining techniques to extract insights from large structured datasets.
• Applied clustering and classification algorithms using Scikit-learn to identify meaningful patterns and trends in data.
• Performed data preprocessing and feature selection using Pandas and SQL to improve data quality and analytical results.
• Generated analytical reports to support data-driven decision making.

SAS Programmer Intern — ProKlin T Inc, Seattle, WA
Jan 2024 – Present

• Built analysis-ready clinical datasets using SAS (SDTM/ADaM) for regulatory reporting.
• Applied data validation and preprocessing techniques to ensure accuracy and consistency.
• Produced TFLs and worked with statisticians to resolve data discrepancies.

• SAS Certified Specialist: Base Programming Using SAS 9.4
• AWS Certified Cloud Practitioner (In Progress)