J

Jayaditya Sirasani

CEO

India10 yrs 9 mos experience

Key Highlights

  • Built automated content engine driving 30% increase in CTR.
  • Reduced platform risk by 40% with innovative models.
  • Architected ML solutions for e-commerce automation.
Stackforce AI infers this person is a Product Leader in E-commerce and AI-driven solutions.

Contact

Skills

Core Skills

Product ManagementArtificial Intelligence (ai)Machine LearningData AnalysisRisk ManagementStrategyConsultingBusiness DevelopmentTeam Building

Other Skills

Microsoft ExcelAnalytical SkillsProduct OperationsDefining RequirementsManagementStrategic ThinkingDigital StrategyProblem SolvingStrategy ExecutionOperations ManagementLeadershipProject ManagementExecutive PresentationsStoryboardingStrategic Planning

About

I build products at the intersection of Generative AI and Commercial Scale. Currently at Razor Group, I automate the e-commerce lifecycle for thousands of brands using LLMs and Machine Learning. The Highlights: Content Engine: Built an automated content engine for Amazon listings, directly driving conversion and visibility via Gen-AI pipelines. ML: Developed a Portfolio Steering Engine to automate pricing, promotion decisions for thousands of listings. Risk (Meesho): Reduced platform risk by 40% by launching proprietary risk-scoring and insurance models. Core Stack: Python, SQL, LLM (RAG/Diffusion), Mixpanel, AWS Project Management Stack: JIRA, Hubspot, Zapier, Netsuite Target Markets: UK, EU, UAE, & India. Outside of the tech debt, I’m a trained pianist ; I find the logic of a musical score and a codebase surprisingly similar.

Experience

10 yrs 9 mos
Total Experience
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Average Tenure
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Current Experience

Kotak mahindra bank

Deputy Vice President

Apr 2026Present · 2 mos · Bengaluru · On-site

Razor group

Product Leader

Nov 2023Present · 2 yrs 7 mos · Remote

  • Content Strategy & Generative AI
  • Gen-AI Creative Engine: Launched an automated image generation pipeline for event-themed visuals, driving a 30% increase in CTR and Cart-Conversions across thousands of listings.
  • Search & Quality Intelligence: Engineered a proprietary Listing Quality Score (LQS) and Listing Completeness Score (LCS), integrating Amazon and 3rd party data to optimize organic ranking
  • Experimental Scale: Automated A/B testing experiments leveraging Gen-AI pipelines with real-time Amazon Ads and SEO data to maximize portfolio visibility.
  • Operational Efficiency: Migrated content infrastructure from HubSpot to a custom Dynamic Content Library, reducing technical debt and operational overhead by 60%.
  • NPD & Portfolio Operations
  • ML-Based Capital Allocation: Architected a Machine Learning Portfolio Steering Engine for 10,000 listings, transitioning decision-making from manual intuition to algorithmic demand planning and pricing.
  • 0-to-1 Launch Pipeline: Designed the end-to-end NPD workflow—from automated idea generation via Amazon Product Opportunity Explorer to final launch—systematizing the transition from concept to revenue.
  • Compliance Automation: Built automated regulatory workflows for testing labs and vendor management, reducing launch bottlenecks and ensuring 100% adherence to global standards.
  • Customer Experience (CX) & Revenue Recovery
  • CX Sentiment Analysis: Developed an automated sentiment analysis engine for customer reviews; quantified 2% revenue loss due to negative CX to enable targeted recovery for "top loser" listings.
  • Affiliate Profit Engine: Built and scaled the BI infrastructure for an Affiliate Aggregator program, managing a $1M annual profit stream for internal and external brands.
Artificial Intelligence (AI)StrategyMicrosoft ExcelProduct ManagementAnalytical SkillsMachine Learning+1

Meesho

Senior Strategy Manager - Experience

Jul 2022Nov 2023 · 1 yr 4 mos · Bengaluru · Remote

  • Seller Platform Strategy & Experience
  • Logistics Autonomy: Scaled the "Choose Courier Partner" feature to 80% adoption by identifying post-shipment friction via seller surveys; significantly improved fulfillment flexibility.
  • Fraud & Asset Protection: Launched Branded Packaging initiatives, reducing RTO (Return-to-Origin) packet-swaps by 50% while increasing tracking and delivery precision.
  • Reverse Logistics Efficiency: Engineered "Smart-QC" for reverse pickups, driving a 60% reduction in incorrect pickups without adding friction to the customer return journey.
  • Fraud Prevention & Platform Integrity
  • Risk Mitigation at Scale: Reduced the Platform Risk Score by 40% by architecting and deploying structural risk-scoring models for high-volume transactions.
  • Proactive Threat Detection: Piloted an Anomaly Detection Model to identify behavioral "hotspots," enabling proactive prevention of fraudulent seller activity.
  • Automation & Efficiency: Decreased manual operational effort by 8x through the implementation of automated Analytical Blocking Models for high-risk accounts.
  • Risk Management & P&L Optimization
  • Insurtech Innovation: Launched an industry-first Seller Insurance program, achieving 90%+ volume coverage at a cost of <3% AOV; mitigated financial volatility for the ecosystem.
  • P&L Efficiency: Delivered 1.75% in P&L savings (NMV-base) by redesigning the Reimbursement Control Framework and automating claims through a Consolidated Reimbursement Model.
  • AI-Driven Scalability: Partnered with Data Science to deploy Video ML models for dispute resolution, resulting in 2x gains in both agent productivity and audit accuracy.
Defining RequirementsManagementStrategic ThinkingDigital StrategyStrategyProblem Solving+29

Accenture strategy

2 roles

Management Consultant

Promoted

Dec 2021Jul 2022 · 7 mos · Mumbai

  • Digital Transformation & Automation (US Midwest Utility)
  • Operational Efficiency: Architected a cost-optimization roadmap for a $4B Utility, delivering 5% in operational savings via value-tree analysis.
  • Large-Scale RPA: Orchestrated a Robotic Process Automation pilot for the Billings Division; managed 30 developers to deliver 180,000 man-hours in monthly savings.
  • Executive Dashboards: Built CXO-level BI dashboards to track digital penetration and cross-selling, centralizing data for fragmented customer segments.
  • Global Strategy & Energy Transition
  • Market Expansion: Doubled the addressable market (2x growth) for a Japanese MNC’s Energy Management division by identifying disruption points in the Asian utility market.
  • Decarbonization Policy: Authored a Point of View (PoV) on EU & US Carbon Taxation, modeling the impact of border taxes to inform GTM strategies for global utilities.
  • Forecasting: Developed 2030 power generation and emission models for the SE-Asian market using data analytics to identify clean-tech adoption gaps.
Defining RequirementsManagementStrategic ThinkingStrategyProblem SolvingBusiness Development+25

Management Consulting Analyst

Jul 2019Nov 2021 · 2 yrs 4 mos · Mumbai

  • Business Model Strategy & Turnaround (Healthcare)
  • Service-to-Product Pivot: Led a pro-bono turnaround for a healthcare entity, designing a 2-year roadmap to pivot from services to a product-based offering, increasing investor appeal and scalability.
  • Digital Integration: Facilitated organizational design workshops and sourced 3 strategic partners to automate manual healthcare workflows.
  • Global Market Intelligence (Renewable Energy)
  • Offshore Wind Study: Developed strategic thought capital on offshore wind potential across NA, EMEA, and APAC markets to inform capability investment decisions for global energy leaders.
  • Technical Leadership & Enablement
  • Analytics Mentorship: Designed and taught a ‘Practical Analytics for Business’ course (Python/PowerBI) to a 50+ member team to improve technical literacy across the firm.
  • Strategic Onboarding: Benchmarked and onboarded two digital solution partners to accelerate the capability roadmap for a major utility client.
Defining RequirementsStrategic ThinkingStrategyProblem SolvingBusiness DevelopmentMicrosoft Excel+19

Accenture strategy (formerly axia limited)

Summer Intern

Apr 2018Jun 2018 · 2 mos · Mumbai, Maharashtra, India

  • Identified 8 pain-points in the North American Utility industry's distribution value chain.
  • Developed and implemented 5 Python-based tools with AI/ML algorithms, improving the bottom line by 9%+.
  • Created a business case for utility companies to monetize electric vehicle charging using AI-enabled customer campaigns.
Defining RequirementsStrategic ThinkingStrategyProblem SolvingBusiness DevelopmentMicrosoft Excel+10

Cisco

Consultant- Business Services

Jul 2015Jun 2017 · 1 yr 11 mos · Bangalore

  • Served as Account Lead for four major clients, ensuring tailored business solutions and exceptional service delivery.
  • Achieved a 94% reduction in downtime risk for a Fortune-30 client, preventing a potential $200M loss.
  • Guided a Fortune-50 client in securing $110M worth of hardware against zero-day vulnerabilities through strategic patching.
  • Piloted SR reports for Unified-Computing Servers, contributing to an annual revenue generation of $7.5M.
Defining RequirementsStrategic ThinkingProblem SolvingBusiness DevelopmentMicrosoft ExcelExecutive Presentations+7

Aiesec

Brand Development and External Relations Manager

Jan 2013Jan 2015 · 2 yrs · Varanasi Area, India

Strategic ThinkingStrategyProblem SolvingTeam BuildingCommunicationMicrosoft Word+2

Education

Indian Institute of Management, Calcutta

Master of Business Administration - MBA

Jan 2017Jan 2019

TBS Education

Master of Business Administration - MBA — International Marketing

Jan 2018Jan 2018

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology (BTech) — Electrical

Jan 2011Jan 2015

Sri Chaitanya College of Education

12th — PCM

Jan 2009Jan 2011

N.St.Mathews

High School

Jan 1997Jan 2009

Toulouse School of Management

Master of Business Administration - MBA — International Marketing

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