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Frontend Developer with 1+ years in React.js & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To work in a challenging atmosphere by exhibiting my skills with utmost sincerity and dedication for the growth of your esteemed organization and for myself.
Thanthai Periyar Government Institute of Technology
MCA
August 1, 2023 – June 30, 2025
Ayya Nadar Janaki Ammal College
B.Sc CS · Computer Science
August 1, 2020 – June 30, 2023
Ajalabs.ai
Data Analyst Intern
January 1, 2026 – Present
Bengaluru, Karnataka, India
TEMS TECH SOLUTION
Frontend developer Intern
January 1, 2025 – June 30, 2025
Tirunelveli, Tamil Nadu, India
E-Commerce Application for Tier 3&4 Cities of India
January 1, 2025 – June 30, 2025
Focusing on affordable products, regional language voice support, and simplified user experience. The platform bridges the digital shopping gap by connecting local vendors
College Event Management System
January 1, 2023 – March 31, 2023
Developed an event management system to streamline planning and coordination for college Inter and Intra College competition Events.
PROGRAMMING IN JAVA
NPTEL
July 1, 2022 – Present
SOFTWARE TESTING
Ayya Nadar Janaki Ammal College
June 1, 2021 – Present
Cultural Fit Analysis
The candidate has experience in both frontend development and data analysis, indicating adaptability. The academic projects, particularly the E-Commerce application for Tier 3&4 cities, suggest an interest in impactful, user-centric solutions. However, the overall experience level is low (internships and academic projects), which might require more mentorship in a senior role. The target role is 'Frontend Developer', which aligns with one of the internships and project work.
Soft Skills & Operational Fit
The candidate lists 'Effective Time Management' and 'Communication Skills' as self-assessed skills. The project descriptions are concise but lack specific details on challenges, solutions, or individual contributions, making it difficult to fully assess operational fit or soft skills from the provided data.