Anjali Ghai

Detail-oriented Project Coordinator with hands-on experience coordinating daily operations, tracking performance data, and supporting cross-functional teams in high-volume environments. Skilled in scheduling, vendor and stakeholder communication, data validation, and reporting using Excel, SQL, and Power BI. Proven ability to streamline processes and maintain accurate documentation.

Technical Support Specialist at Teleperformance (2026-04 – Present)

• Resolved customer software issues via inbound calls, reducing repeat tickets by 20% through structured troubleshooting and clear customer guidance.
• Troubleshot technical errors using diagnostic tools, achieving a 95% first-call resolution rate by isolating root causes and validating fixes in-session.
• Documented bugs in the knowledge base, accelerating team resolution times by 15% by standardizing issue details and reproduction steps.
• Guided users through system setups, cutting configuration errors by 25% through step-by-step onboarding and verification checks.

Shift Lead & Administrative Assistant at Wing Station (2022-10 – 2025-12)

• Reconciled 150+ daily POS transactions and cash orders, reducing billing errors by 20% through end-of-shift audits and exception handling.
• Tracked sales and inventory metrics via Excel reports, improving reporting efficiency by 30% by organizing standardized templates and refresh routines.
• Optimized stock levels by monitoring usage against sales data, reducing mismatches by 15% through reorder adjustments and variance tracking.
• Trained 8+ staff on POS data entry, improving peak-hour operational workflow by 20% through structured coaching and process reinforcement.

Data Analyst Intern at Faspin Technologies (2021-09 – 2022-06)

• Cleaned raw datasets using Excel formulas, improving overall data accuracy by 25% through validation checks and standardized formatting.
• Extracted relational data using SQL queries, reducing retrieval time by 30% by optimizing filters and joins for reporting needs.
• Analyzed project performance using Pivot Tables, increasing trend visibility by 35% by consolidating metrics into reusable summaries.
• Identified data inconsistencies through SQL and Excel audits, cutting errors by 20% by flagging anomalies and aligning records to source systems.

Post-Graduate Diploma in Business Information Technology – Seneca College

Bachelor's Degree in Computer Application – RIMT University