👩💻 Automation Engineer | AI for Support Systems | Python+JIRA Built smart tools for SLA prediction & ticket routing • Author on Lulu & Published in IJARIIT
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Hicom Engineering private Limited
Frontend Developer
June 21, 2026 – Present
AI-SLA-Predictor-for-JIRA-Smart-Ticket-Automation
July 3, 2025 – July 15, 2025
AI-powered solution to predict SLA breaches, prioritize support tickets, and enhance JIRA workflow efficiency using machine learning.
View ProjectSmart-support-analytics-dashboard
July 3, 2025 – July 15, 2025
AI-powered dashboard for monitoring SLA breaches, ticket trends, and support team performance using real-time analytics and automation.
View ProjectAI-Powered-Ticket-Routing-SLA-Breach-Prediction-in-JIRA
July 2, 2025 – July 15, 2025
AI-Powered JIRA Automation Smart ticket classification, predictive SLA breach alerts, and intelligent agent routing all powered by machine learning. Boost your support efficiency with ready-to-use automation tools and dashboards.
View ProjectJira-automation-samples
June 23, 2025 – July 14, 2025
A practical collection of JIRA automation examples to optimize support workflows. Includes real-world rules for auto-assignment, SLA breach alerts, ticket prioritization, and status transitions. Designed for teams looking to streamline issue management with low code and no code solutions.
View ProjectSla-report-automation
June 21, 2025 – July 15, 2025
🚀 Automate Excel-based SLA reporting with zero hassle! This powerful VBA tool generates priority-based support metrics, highlights SLA breaches, and saves hours of manual effort — perfect for tech support teams and IT managers.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on backend automation, AI/ML, and data analysis (JIRA automation, SLA prediction, reporting). While these demonstrate problem-solving and technical initiative, they do not directly align with the 'Frontend Developer' target role. The current role as a Frontend Developer suggests some alignment, but the personal projects indicate a stronger inclination towards backend/data engineering. This creates a moderate misalignment with the stated target role, suggesting a need to evaluate if the candidate's frontend skills are adequately developed or if their interests lie elsewhere.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.