Sakshi Tyagi

Associate Consultant

Delhi, India2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced processing time by 50% at Amazon.
Saved over ₹1.2 million through contingency planning.
Led 500+ team at college events.

Stackforce AI infers this person is a data-driven Program Manager with expertise in event management and supply chain optimization.

Contact

Skills

Core Skills

Event ManagementProject ManagementProgram ManagementData Analytics

Other Skills

Adobe IllustratorAdobe PhotoshopAnalytical ReasoningAnalytical SkillsAndroid DevelopmentApplication DevelopmentArtificial Intelligence (AI)Attention to DetailBharatanatyam dancerBudget ManagementBusiness DevelopmentC++Color TheoryCommunicationCreative Strategy

About

As a B.Tech graduate in Mechanical and Automation Engineering from IGDTUW, I bring a unique blend of analytical thinking, operational insight, and creative execution. I recently completed a 6-month program management internship at Amazon, where I built forecasting models that cut processing time by 50% and saved over ₹1.2 million through contingency planning. My passion lies in solving real-world problems with data-backed strategies. Alongside my corporate experience, I’ve led 500+ team at college fests, managed cross-functional production teams for large-scale events, and continue to build my skill set in SQL, Python, and advanced Excel.

Experience

Outseer

Cyber fraud analyst I

Jan 2026 – Present · 2 mos · Remote

Redmoon productions

Pre production analyst

Jul 2023 – Dec 2025 · 2 yrs 5 mos · Delhi, India · Hybrid

Managed pre-production for high-visibility events like United Nations Pageants
Coordinated with creatives, managed budgets, and developed storyboards
Led cross-functional freelance teams including stylists, writers, and script editors

Pre-production PlanningBudget ManagementStoryboard DevelopmentCross-functional Team ManagementEvent ManagementProject Management

Amazon

Program Manager

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Built a forecasting model that improved prediction accuracy (WAPE from 9% to 5%)
Reduced processing time by 50% and provided high-risk volume insights across stations
Saved ₹1.28M through contingency analysis and dashboard creation
Collaborated across supply chain teams to optimize resource allocation

Forecasting ModelsData AnalysisDashboard CreationSupply Chain OptimizationProgram ManagementData Analytics