Naveen Shaun pinto
@naveenshaunpinto
I turn customer, retail, and churn data into actionable Power BI insights.
What I'm looking for
I've analyzed customer churn, shopping behavior, and retail orders using Python, SQL, PostgreSQL, and Power BI, turning datasets of up to 9,994 records into dashboards and business recommendations. My churn analysis identified an approximately 24% churn rate and highlighted month-to-month customers as a key retention segment.
At UnifyCX Technologies, I resolved 5,000+ customer issues through chat and ticketing while using structured troubleshooting, root-cause analysis, SQL/database fundamentals, UNIX commands, Splunk, DNS, SSL, cPanel, and web technologies. I maintained a 4.5+ customer rating and was recognized as a Top Performer for 2–3 consecutive months.
Experience
Work history, roles, and key accomplishments
Technical Support Engineer
UnifyCX Technologies
Nov 2024 - Apr 2026 (1 year 5 months)
Resolved 5,000+ customer issues through chat and ticketing channels using structured troubleshooting and root-cause analysis. Investigated complex technical issues and escalated cases, identifying underlying causes and delivering effective solutions.
Education
Degrees, certifications, and relevant coursework
Shree Devi Institute of Technology
Bachelor of Engineering, Computer Science and Engineering
Grade: 8.22 CGPA
Bachelor of Engineering in Computer Science and Engineering from Shree Devi Institute of Technology, affiliated with Visvesvaraya Technological University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/NavipintoJob categories
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