Archana Karnan

About

B.Tech Information Technology student at SRM IST-Ramapuram with hands-on project experience in machine learning, full-stack development, and automation. Strong competitive programming background and active participation in technical workshops, hackathons, and coding events.

Education

• 2027 SR
  Bachelor of Technology

  SRM IST-Ramapuram

  Awarded by SRM Institute of Science and Technology

  Information Technology · Aug 2023 – May 2027

  Information Technology · Aug 2023 – May 2027
• 2022 LF
  High School

  Little Flower Higher Secondary School

  2022
• 2020 LF
  Secondary

  Little Flower Higher Secondary School

  2020

Skills

Tools / apps / platforms

Projects

• Sentimental Analysis
  Python, Machine Learning, NLP, TF-IDF

  Developed a machine learning-based sentiment analysis system to classify text into positive, negative, and neutral sentiments. Applied NLP techniques such as text preprocessing, tokenization, and TF-IDF feature extraction. Used the model to analyze customer reviews and social media text for meaningful insights.

• MedPlus - Hospital Management System
  Spring Boot, Spring Data JPA, Thymeleaf, MySQL, HTML, CSS, JavaScript

  Developed a full-stack hospital management system handling patient and doctor records with appointment scheduling. Built responsive web interfaces using HTML, CSS, JavaScript, and Thymeleaf. Implemented CRUD operations using Spring Boot and Spring Data JPA with authentication and role-based access control.

• Automated Trading for Intraday Traders
  Python, Machine Learning, Technical Indicators

  Developed a Python-based automated trading system to assist intraday traders in making data-driven buy and sell decisions. Integrated technical indicators to analyze market trends and generate trading signals. Automated repetitive trading analysis to reduce manual effort and improve decision-making efficiency.

• Hybrid Machine Learning Framework for Proactive SSD Failure Prediction
  Python, Machine Learning, Random Forest, Isolation Forest, SMART Data

  Developed a proactive SSD failure prediction framework using SMART attributes from the Backblaze SSD dataset. Selected critical SMART attributes related to reallocated sectors, reported errors, pending sectors, and uncorrectable errors. Designed the framework to identify potential SSD failures early and support proactive storage-system maintenance.

Courses & certifications

• Introduction to the Sorting Algorithm · Skillup
• Introduction to Database · Coursera
• Ultimate AWS Certified AI Practitioner · Udemy
• Operation System · Udemy
• DBMS and MySQL Complete · Udemy

🏆 Achievements & awards

• Selected for SheFi Cohort 2026 · 2026

  Selected for a global initiative supporting women in technology.

• Recognition by Coding Ninjas

  Recognized for excellence in Spring Boot, Frontend Development, and Data Structures.

⚽ Extracurricular activities

• Organizer and Coordinator, IoT Workshop at SRM IST

  Assisted with participant management and event execution.

• Organizer and Coordinator, HACK 'N' PLAY at SRM IST

  Assisted with participant management and event execution.

• Built Servd during RockVerse Hackathon

  Developed a recipe generation platform during the hackathon.

• DSA (Java) Training conducted by IIT Madras

  Completed training strengthening algorithmic problem-solving skills.

• Participant, Codeathon – SRM IST

  Participated in a competitive programming environment solving coding challenges.

🤝 Volunteering

• SRM IST · Volunteer

  Volunteered in organizing and coordinating an IoT Workshop, assisting with participant management and event execution.