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Rasica TopnoRT
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Rasica Topno

@rasicatopno

Customer Operations Specialist at Metamorphosys Technologies who triaged 220+ issues to zero critical defects at sign-off.

India
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At Metamorphosys Technologies, I triaged, tagged, and prioritized 220+ tracked defects in Jira, reaching zero critical issues at final sign-off. I also handled client and vendor escalations across two time zones, keeping stakeholders updated until closure.

I used root cause analysis on repeat defects and closed 20+ action items with development, QA, and client teams, reducing the UAT defect ratio to about 14% across three production releases. I also turned client emails and stakeholder input into process documents and user stories, reducing requirement rework by 75% across two teams.

For my Automated SLA Breach Alert Workflow project, I mapped manual Excel tracking and designed escalation thresholds, ownership hand-offs, and accountability rules in Jira and Outlook. At Coherent Market Insights, I built validation checklists for ICT client engagements and identified qualified leads using Apollo.io and LinkedIn Sales Navigator.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Symbiosis Institute of Computer Studies and Research logoSR

Symbiosis Institute of Computer Studies and Research

MSc, Computer Applications

2024 -

Grade: 8.56 CGPA

Activities and societies: Coordinated placement drives for 110+ students; ranked 1st of 25 teams at SISCR Hackathon.

Pursuing MSc in Computer Applications with a CGPA of 8.56, including coursework in Software Project Management and Agile Methodologies.

St. Xavier's College, Kolkata logoSK

St. Xavier's College, Kolkata

BSc (Honours), Computer Science

2021 - 2024

Completed BSc in Computer Science (Honours) with minors in Sociology and Mathematics.

Udemy logoUD

Udemy

SQL for Data Analysis, Data Analysis

Certified in SQL for Data Analysis.

Coursera logoCO

Coursera

GenAI for Data Analytics, Data Analytics

Certified in GenAI for Data Analytics.

Tech stack

Software and tools used professionally

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