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Rakshayaa Rajumahendran

Rakshayaa Rajumahendran

Fresher

Talent
TiruchirappalliMember since October 2, 2026
Communication & PresentationTeam CollaborationCross-Functional CoordinationProblem SolvingAdaptabilityTime ManagementAttention to DetailCritical ThinkingLeadershipCreativity & InnovationActive ListeningGrowth MindsetPythonJavaScriptJava (Basics)HTML5CSS3Tailwind CSSBootstrapResponsive Web DesignReact.js (Basics)Interactive UI ComponentsFigmaCanvaREST API IntegrationJSONAJAXAPI DevelopmentFlask (Basics)Node.js (Basics)
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Communication & PresentationTeam CollaborationCross-Functional CoordinationProblem SolvingAdaptability

About

BCA student at Bishop Heber College with a strong interest in AI, data analysis, and software development, skilled in Python, SQL, JavaScript, React.js, and Firebase. Built AI chatbots, student-facing web platforms, and automation tools while completing an AI/ML internship at Infyro alongside virtual experience programs with JP Morgan Chase, Quantium, Deloitte, Accenture, and AWS. Actively exploring generative AI and prompt engineering, seeking an entry-level Software Development or AI/ML role to apply practical skills in a fast-paced tech environment.

Experience

AI/ML Intern at Infyro (2025-11 – 2025-12)

  • Developed and tested 5+ supervised learning classification models in Python, achieving 85%+ accuracy benchmarks across multiple datasets.
  • Built end-to-end data preprocessing pipelines using Pandas and NumPy, reducing training data noise by ~25% and improving model input quality.
  • Documented model performance metrics (accuracy, precision, recall) and presented weekly findings to a 4-person review team.

UI/UX Designer (Part-time) at Damnex (2026-02 – Present)

  • Design UI assets and visual components for digital products using Figma and Canva, maintaining 100% brand consistency across deliverables.
  • Collaborate with the product team to deliver responsive, accessibility-aware components reviewed by 3+ stakeholders per sprint.

Virtual Experience Programs (Forage) at JP Morgan Chase & Co. · Quantium · AWS (2025-12 – 2026-01)

  • JP Morgan Chase – Quantitative Research: analysed 3+ financial datasets and built statistical models in Python and Excel to identify market trends across equity sectors; created 10+ data visualisations to translate findings for non-technical stakeholders.
  • Quantium – Data Analyst Simulation: performed EDA on a 50,000+ row retail transaction dataset using Pandas and Matplotlib, uncovering 3 key customer purchasing patterns.
  • AWS – Solutions Architecture: designed cloud infrastructure using EC2, S3, IAM, and RDS for a simulated enterprise use case, applying the AWS Well-Architected Framework to reduce projected cost by ~20%.

Education

Bachelor of Computer Applications (BCA) in Computer Applications – Bishop Heber College - Bharathidasan University (2024-06)

Higher Secondary (12th) – St. Joseph's Girls Hr. Sec. School

Secondary (10th) – St. Arnold's Matriculation School

Skills

Fresher

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