Headline

Senior WFM Planner @ DoorDash | Ex-Amazon | Capacity Planning & Forecasting | Operations Analytics | Data-Driven Strategy | GenAI

About

WFM Program Manager and Business Analyst professional with 6+ years of experience driving operational excellence, workforce optimization, and data-driven decision making within large-scale global operations. Throughout my career, I have partnered with cross-functional teams across Operations, Finance, and Analytics to solve complex business challenges through forecasting, capacity planning, workforce strategy, and process improvement initiatives. My work has contributed to $2.1M in realized cost savings, identified opportunities with $5M in projected annualized benefits, and improved workforce efficiency through scalable planning solutions. I am passionate about turning data into actionable insights, building sustainable processes, and helping organizations make smarter business decisions. My experience spans workforce planning, forecasting, scheduling, business continuity planning, stakeholder management, operational analytics, and performance optimization across North America programs. Currently, I am expanding my expertise in AI-Powered Product Design through IIT Madras Pravartak, with a strong interest in Generative AI, intelligent automation, and the future of AI-enabled business transformation. I am open to opportunities in Business Analysis, Operations Strategy, Workforce Analytics, Product Operations, and AI-driven business roles where I can combine analytical thinking, business acumen, and innovation to create measurable impact. Let’s connect to discuss analytics, operations, AI, and building better business solutions.

Location

Hyderabad

AI stack

claude code

claude

cursor

gemini

kiro

openai

Work experience

Senior Workforce Management Planner at DoorDash, Oct 2026 - Present · 2 mos, Hyderabad, Telangana, India, Work in progress!

WFM Program Manager at Amazon, Sep 2021 - Oct 2026 · 5 yrs 2 mos, • Achieved $7M+ in cumulative cost savings through site-mix optimization across NA and EU by redistributing workload to lower-cost sites and enabling autonomous shift models, reducing hiring needs and improving efficiency. • Delivered zero SLA impact during Prime Peak by implementing night shifts and Donut Shift patterns across 3 programs, improving coverage balance and workforce utilization. • Restored real-time volume visibility for business reviews by implementing automated alerts, resolving forecast-to-headcount mismatches during Prime planning and improving planning accuracy. • Contributed to an AI-powered Chat Assistant by leading persona design, data integration, and hallucination reduction, reducing analyst effort by 20% and enabling $1.2M in entitlement. • Delivered 6,387+ productive labor hours and $44K in incremental savings by leading cross-training for 512 associates using capacity heat maps, improving workforce flexibility. • Owned workforce readiness for high-volume events including Prime Day and Peak, conducting DBRs and ensuring SLA adherence through stakeholder management. • Improved workforce efficiency by launching optimized shift patterns through demand simulations, enhancing schedule optimization across programs. • Owned workforce planning and short-term headcount strategy across 4 North America programs, ensuring SLA adherence, business continuity, and operational resilience. • Designed forecasting and capacity planning models to improve staffing accuracy, workforce utilization, and proactive risk identification. • Automated Schedule Adherence, Shrinkage, UPT, and Utilization reporting using Excel, VBA, and SQL, reducing manual effort by 30% and improving reporting accuracy by 25%. • Developed and validated Business Continuity Plans (BCP) through scenario testing, ensuring zero-disruption execution during critical events.

Real Time Monitoring at Amazon, Jul 2020 - Sep 2021 · 1 yr 3 mos, • Monitored real‐time queues, staffing levels, and service level metrics across operational workflows, making intraday adjustments to maintain SLA adherence and optimal coverage. • Tracked schedule adherence at interval level, flagging deviations and coordinating with supervisors for immediate agent reallocation during volume surges. • Performed intraday reforecasting based on actual volume and AHT trends, recommending staffing adjustments (overtime, VTO, shift extensions) to close gaps against plan. • Produced interval‐level performance reports on Service Level, ASA, Occupancy, Abandonment Rate, and real‐time shrinkage, enabling data‐driven floor decisions. • Managed real‐time incident response during system outages and high‐impact events, implementing contingency staffing plans and escalating to leadership. • Partnered with WFM planning and Operations to bridge forecast‐to‐execution gaps, improving intraday efficiency and reducing unplanned shrinkage.

Business Development Executive at Estroso Technologies, Oct 2018 - Oct 2019 · 1 yr 1 mo, Kolkata, West Bengal, India, • Identified and pursued new business opportunities across market segments, building a pipeline through cold outreach, face‐to‐face meetings, and consultative selling. • Managed end‐to‐end client relationships from prospecting to deal closure, consistently meeting quarterly revenue targets for the company’s technology services portfolio. • Developed and delivered customer presentations and business proposals tailored to client needs, driving stakeholder buy‐in and accelerating deal cycles. • Analyzed market trends and competitive landscape to identify gaps, refine positioning, and recommend go‐to‐market strategies aligned with business objectives. • Collaborated with cross‐functional teams (product, delivery, marketing) to align service offerings with client requirements and support strategic growth initiatives.

Education

Bachelor of Technology, Mechanical Engineering, Sikkim Manipal Institute of Technology (SMIT)

Class 12th, Science, Faculty Higher Secondary School