Pranav Ganeshwadi
Pune
Summary
Operations and process excellence professional with ~4 years of experience in SLA-driven global delivery at WNS and Tech Mahindra, currently pursuing an MBA and seeking entry-level roles at the intersection of Business and AI such as AI Business Analyst, Technical Business Analyst, or Product Analyst. Skilled in requirements gathering, stakeholder communication, process mapping, SQL analysis, KPI reporting, and documentation, with hands-on exposure to Generative AI workflows including prompt engineering, RAG, and AI-driven solution design.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Associate, Operations (Claims)
WNS Global Services
Pune
02.2024 - 09.2025
- Processed and validated claims for a UK-based health insurance workflow with strict focus on accuracy, confidentiality, and compliance standards.
- Executed SLA-driven operations during high-volume and forecast periods, ensuring timely delivery while maintaining high-quality benchmarks.
- Identified recurring process gaps and data inconsistencies; escalated observations and suggested improvements to strengthen process efficiency and control.
- Mentored and coached new joiners on process understanding, quality expectations, and best practices-supporting faster onboarding and team consistency.
- Demonstrated strong attention to detail, ownership, and process discipline while handling sensitive and critical claim scenarios.
- Key Skills Used: Process Execution; Quality & Compliance; Gap Identification; Process Improvement; Documentation; Mentoring
Sr. Associate, Client Operations
Tech Mahindra
Pune
01.2022 - 12.2023
- Managed end-to-end client operations for a telecom process (One.nz), ensuring accurate case resolution, strong customer experience, and adherence to quality standards.
- Owned complex cases and escalations independently, maintaining structured documentation, case notes, and follow-up tracking for timely closure.
- Applied structured problem-solving and root-cause analysis to reduce repeat queries and improve first-contact resolution outcomes.
- Coordinated with internal teams (support functions/escalations) to unblock workflow bottlenecks and improve turnaround time.
- Consistently exceeded performance and quality benchmarks in a high-volume environment; recognized for professionalism, empathy, and accuracy.
- Key Skills Used: RCA; Workflow Coordination; Documentation; SLA/Quality Metrics
Education
MBA -
Symbiosis School for Online and Digital Learning (SSODL), Symbiosis International (Deemed University)
PuneBBA - Grade: A
Savitribai Phule Pune University
Skills
AI & Analytics: Prompt Engineering, RAG Fundamentals, AI Workflows, Responsible AI (Privacy & Bias), ChatGPT/Gemini
Business Analysis: Requirements Gathering, Stakeholder Communication, Process Mapping (As-Is/To-Be), User Stories & Acceptance Criteria, RCA / GAP Analysis
Data & Reporting: SQL, Power BI, Advanced Excel, KPI/SLA Reporting, Basic Statistics
Operations & Process: Process Excellence, Case Management, Escalation Handling, Quality & Compliance, Cross-Functional Coordination
Automation Mindset: Excel VBA/Macros, Process Automation
Certification
- AI Product Management Specialization - Duke University
- Generative AI for Business Analysts Specialization - IBM & SkillUp
- Google Cloud Generative AI Leader Specialization - Google Cloud
- Statistics and Data Analysis with Excel Specialization - Macquarie University
- SQL Fundamentals for Data Analysts
- Microsoft Excel VBA & Macros
Languages
English
Proficient
C2
Hindi
Proficient
C2
Marathi
Proficient
C2
Linkedin Profile
www.linkedin.com/in/pranav-ganeshwadi-06427a200
Case Work
Power Plant Energy Output Prediction (ML Regression – Case Study)
• Developed regression models using environmental and operational variables to estimate energy output.
• Compared Linear Regression and Random Forest using cross-validation and RMSE for performance evaluation.
Real-Time Scam & Spam Detection System (ML Workflow Design – Case Study)
• Designed an end-to-end architecture for real-time message classification with deployment considerations.
• Defined evaluation metrics (Precision, Recall, F1-score) and identified key risks such as model drift, bias, latency, and multilingual challenges.
SpamShield AI: Human-Centered Fraud Detection (Concept Design)
• Conceptualized a user-focused fraud detection workflow with risk scoring, explainability, and safe user actions (Block, Report, Verify).
• Incorporated Responsible AI principles and privacy-by-design practices for handling sensitive data.
Timeline
Senior Associate, Operations (Claims)
WNS Global Services
02.2024 - 09.2025
Sr. Associate, Client Operations
Tech Mahindra
01.2022 - 12.2023
MBA -
Symbiosis School for Online and Digital Learning (SSODL), Symbiosis International (Deemed University)
BBA - Grade: A
Savitribai Phule Pune University