Priya Minocha

Product Manager

Amherst, Massachusetts, United States2 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Achieved 18% reduction in customer escalations.
Improved forecasting accuracy by 10% through dashboards.
Boosted self-serve completion by 15% via data analysis.

Stackforce AI infers this person is a Data Analyst in Telecommunications with strong software development and business intelligence skills.

Contact

priya.minocha@verizon.com LinkedIn

Skills

Core Skills

Data AnalysisSoftware DevelopmentBusiness Intelligence

Other Skills

Adobe Experience Manager (AEM)Agile MethodologiesAlgorithmsAnacondaAnalytical ReasoningAnalytical SkillsAngularJSBusiness Intelligence (BI)Business Intelligence ToolsC (Programming Language)C++Cascading Style Sheets (CSS)CollaborationDAXData Cleaning

About

I’m a Business Analytics graduate (M.S., UMass Amherst, GPA 3.9) with 2+ years of experience at Verizon, where I combined technical skills and business acumen to deliver measurable impact. My work ranged from building AI-driven workflows and BI dashboards to collaborating with stakeholders on process improvements and strategic insights. Proficient in SQL, Python, Power BI, Tableau, Snowflake, and Excel, I specialize in turning complex data into clear insights that improve efficiency, customer engagement, and decision-making. Some of my achievements include: --18% fewer customer escalations through AI-powered payment workflows. --10% higher forecasting accuracy from executive dashboards used in strategic planning. --15% boost in self-serve completion by analyzing behavioral trends and refining solutions. I thrive in cross-functional, collaborative environments where I can bridge the gap between data and business needs — whether as a Data Analyst uncovering trends, a Business Analyst improving processes, or a Consultant delivering recommendations that foster growth. Currently authorized to work in the U.S. for 3 years under F-1 STEM OPT (no sponsorship required during this period).

Experience

2 yrs 5 mos

Total Experience

2 yrs 5 mos

Average Tenure

Current Experience

Verizon

2 roles

Engr-II Software Developer

Promoted

Nov 2022 – Jan 2024 · 1 yr 2 mos · Hyderabad, Telangana, India · On-site

As part of the AI Billing Chatbot (My Verizon App) team, I worked on payment automation, data reporting, and self-serve analytics to improve customer experience and operational efficiency.
Key Contributions:
Developed and maintained RESTful Java APIs for billing and payment automation modules, integrating multiple backend services to ensure real-time payment processing. Improved system interoperability and reduced payment-related escalations by 18% through optimized error handling and API monitoring.
Authored and optimized complex SQL queries across payment flows (bill details, transaction history, autopay), improving reporting performance by 24%. Enhanced query logic with CTEs and indexing strategies to deliver faster, more reliable data for internal dashboards.
Built Excel-based KPI trackers using Power Query, PivotTables, and advanced formulas to automate data refresh and consolidate weekly performance metrics. Reduced manual reporting time by 20% and increased visibility into key billing KPIs for leadership.
Collaborated with analytics teams to identify user behavior patterns and drop-offs in chatbot interactions. Used SQL, trend analysis, and visualization tools to support data-driven improvements that led to a 15% increase in chatbot self-serve completion rates.
Contributed in Agile sprints by developing and testing new data validation rules and reporting enhancements, ensuring accurate data flow between systems and reducing latency in analytics updates.

SQLJavaRESTful APIsPower BIExcelData Analysis+2

Engr-I Software Developer

Aug 2021 – Nov 2022 · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

Contributed to the My Verizon App’s AI Chatbot during its initial rollout phase, supporting automation, data analysis, and performance reporting to enhance customer billing and payment journeys.
Key Contributions:
Designed Dialogflow intents for the AI chatbot to automate billing-related queries and reduce manual support dependency. Built SQL-based reporting to analyze user funnel drop-offs and identified optimization areas, leading to a 5% improvement in self-serve completion.
Developed interactive Tableau dashboards that visualized payment KPIs, customer engagement, and escalation trends, enabling leadership to monitor performance in real time. These insights helped improve revenue forecasting accuracy by 10% and informed strategic planning.
Collaborated with cross-functional teams including QA, analytics, and business stakeholders to align data reporting requirements with system design, ensuring seamless integration between technical implementation and business needs.

SQLDialogflowTableauData AnalysisCollaborationBusiness Intelligence