Harshitha Gowda

I am an Artificial Intelligence and Data Science graduate targeting Frontend Developer, Web Developer, Software Engineer, and Full Stack Developer roles, with hands-on experience across HTML, CSS, JavaScript, Python, SQL, Git, GitHub, and MySQL-backed application work. My web development experience includes building a responsive hotel-management landing page, improving UI/UX navigation and accessibility, and optimizing front-end implementation for cross-browser compatibility and page-load efficiency. I have also developed a full-stack DJ booking management application with user authentication, an admin panel, and database integration.

Alongside web work, I bring strong analytical foundations in Python, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, EDA, feature engineering, classification, and predictive modeling.

Web Development Intern - WebCascade

(2023-10 - 2023-11)

• Developed a hotel-management landing page using front-end web development practices, focusing on mobile and desktop usability, clear page structure, and a smoother browsing experience for users across different screen sizes and access contexts.
• Collaborated on UI/UX improvements for the landing page by refining navigation flow, accessibility considerations, and overall user experience, strengthening my ability to translate interface feedback into practical front-end changes.
• Optimized front-end implementation with attention to cross-browser compatibility, website performance, and page-load efficiency, applying HTML, CSS, JavaScript, and developer tooling knowledge to support a more reliable web experience.

Data Science Intern - Codsoft

(2023-11 - 2023-12)

• Developed data visualization workflows using Python, Matplotlib, and Seaborn, converting analytical findings into stakeholder-ready outputs and strengthening my ability to present structured information clearly for technical and non-technical review.
• Supported optimization of machine-learning workflows and data pipelines, improving my understanding of structured data handling, model-training efficiency, and reliable system behavior that can support software engineering and full-stack problem-solving work.
• Performed exploratory data analysis and feature engineering to identify predictive patterns, using Python-based analytical techniques to prepare cleaner inputs, improve model performance, and build disciplined problem-solving habits for development projects.

Cybersecurity Job Simulation - Mastercard, Forage

(2025-01 - 2025-03)

• Designed phishing-email simulations in a cybersecurity job simulation, applying structured thinking to evaluate susceptibility to common social-engineering techniques and understand how user-facing communication can create security risk.
• Analyzed phishing patterns and developed security-awareness training content focused on threat recognition, reinforcing my attention to user behavior, clear communication, and secure digital practices relevant to web and software environments.
• Applied cybersecurity best practices in a simulated environment to identify vulnerabilities and recommend defensive improvements, building awareness of secure design considerations that can support more careful application development.

Bachelor of Engineering - Artificial Intelligence and Data Science - East West Institute of Technology (2021-08 - 2025-07)