Swetha Rajesh

Results-driven B.Tech AI & Data Science student (Expected 2027) with 3 internships and hands-on project experience in machine learning, deep learning, NLP, and Generative AI. Proficient in Python, data structures, scikit-learn, TensorFlow, and cloud platforms (AWS, GCP/Colab). Experienced in building and deploying scalable ML solutions with strong foundations in algorithms and software development. Eager to contribute to high-impact engineering teams solving large-scale real-world problems.

Data Science Intern - Phoenix Softech

(2024-12)

• Preprocessed and cleaned multi-format datasets using Python (Pandas), reducing missing-value rate by ~30%; implemented automated data validation pipelines for analytics workflows.
• Built and evaluated classification models (Logistic Regression, Decision Tree) using accuracy, precision, and recall metrics on small-scale analytics projects.
• Created interactive data visualization dashboards with Matplotlib and Seaborn to communicate findings to stakeholders.

Generative AI Intern - Generative AI Consortium - Remote

(2025-03 - 2025-04)

• Engineered prompt templates using few-shot and chain-of-thought strategies, improving LLM response relevance by ~25% in internal evaluations.
• Experimented with text, image, and content generation models; documented model behavior observations in a shared knowledge base for cross-team collaboration.
• Applied systematic prompt optimization techniques to specific use cases, demonstrating ability to iterate and improve AI system outputs rapidly.

Data Science Intern - BICS Global - Chennai

(2025-11 - 2025-12)

• Performed EDA on business datasets using Python; identified key trends and outliers that guided data-driven decisions for client-facing deliverables.
• Built baseline ML models (Linear Regression, Random Forest) and collaborated in a team to clean data pipelines and present visualization reports to stakeholders.

B.Tech - Artificial Intelligence & Data Science - Velammal College of Engineering & Technology (2027-05)