Web Development Intern with less than a year in SDLC and data analytics.
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Results-oriented Computer Science undergraduate with hands-on experience across the Software Development Lifecycle (SDLC), full stack development, and data analytics. Proficient in building scalable web applications, AI-powered computer vision systems, and interactive business intelligence dashboards to support data-driven decision-making in real-world scenarios.
Kalasalingam University
Btech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sasi Junior College
Intermediate
June 1, 2020 – May 31, 2022
Sri Chaitanya Techno School
SSC
June 1, 2019 – May 31, 2020
Webstack Academy
Full Stack Web Development Intern
July 1, 2024 – September 1, 2024
India
Dmart Sales Analysis
June 1, 2026 – Present
Built a Python-based retail analytics pipeline using Pandas, NumPy, and Faker to generate 1,000 realistic synthetic sales transactions. Implemented randomized pricing, discount, and tax computation logic to closely mimic real-world retail purchase patterns. Performed exploratory data analysis and feature preparation to improve dataset usability for downstream business intelligence tasks. Exported structured datasets to CSV and developed interactive Tableau and Power BI dashboards to monitor revenue trends, payment behavior, and product performance.
Plant Disease Detection Using Swin Transformer
June 1, 2026 – Present
Developed an advanced deep-learning computer vision system using the PlantVillage dataset and Swin Transformer architecture achieving 98% classification accuracy. Engineered complete image preprocessing, augmentation, and inference pipeline to improve model robustness across varying leaf conditions. Built an intuitive farmer-facing interface supporting multilingual input and voice-assisted interaction for improved accessibility. Integrated Explainable AI (XAI) heatmaps to visually highlight infected regions and generate actionable crop health insights for decision support. Optimized prediction workflow for near real-time inference suitable for practical agricultural deployment scenarios.
Database Management Systems
CodeChef
June 1, 2026 – Present
Received First Prize in IBM Poster Creation Competition
IBM
June 1, 2026 – Present
Received Second Prize in IBM's Data Visualization Competition
IBM
June 1, 2026 – Present
Power BI Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a diverse range of interests, from web development to data analytics and AI, which suggests adaptability and a willingness to explore different technical domains. The projects demonstrate a problem-solving mindset and an interest in creating impactful solutions (e.g., plant disease detection for farmers). The target role of 'Web Development Intern' aligns well with their recent internship experience and stated skills, indicating a focused career path. The breadth of skills and project types suggests a good fit for dynamic and innovative environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems independently and a focus on practical application (e.g., farmer-facing interface, real-time inference optimization). Participation in peer code reviews and API documentation suggests an understanding of collaborative development practices. The certifications and competition prizes demonstrate initiative and a drive for continuous learning and achievement.