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Pratyush Ghatole

Pratyush Ghatole

Business Analyst | 1.8 Yrs | SQL Python Power BI | Retail & Supply Chain

Talent
BengaluruMember since July 1, 2026
Business AnalystRetail & Supply ChainExcelPythonSqlUser Acceptance TestingRequirements GatheringData AnalysisStakeholder ManagementPredictive ModelingPredictive AnalyticsAgile MethodologiesData Visualization
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Business AnalystRetail & Supply ChainExcelPythonSql

About

Business Analyst with 1.7+ years of experience across the analytics delivery lifecycle, including requirement gathering, BRD/FRD creation, SIT/UAT, production support, and post-launch enhancements. Currently managing analytics for a live retail merchandising and demand forecasting platform serving a global children's apparel retailer.

Skilled in SQL, Python, Power BI, Tableau, and GCP (BigQuery, Dataflow, Cloud Scheduler), with hands-on experience in data pipeline development, data validation frameworks, KPI reporting, and stakeholder management.

Key achievements include improving demand forecasting accuracy from 68% to 94% through driver analysis and model optimization, and reducing manual QA effort by 40% by building automated data ingestion, quality control, and validation pipelines. Experienced in root cause analysis, test case design, production issue resolution, and cross-functional collaboration with business, product, engineering, and client stakeholders.

Experience

AI Analyst (formerly Business Analyst) - Impact Analytics - Bengaluru, India

(2025-06)

Manage end-to-end business analysis and production analytics support for a live retail merchandising and demand-forecasting platform serving a global children's apparel retailer.

  • Optimised forecasting models and completed trend validations to increase demand-forecasting accuracy from 68% to 94%, significantly enhancing client inventory and replenishment workflows.
  • Engineered automated data-ingestion, quality-control, and validation pipelines on Google Cloud Platform (GCP) using Dataflow, BigQuery, and Cloud Scheduler, reducing manual QA effort by 40%.
  • Built SQL- and Python-based validation frameworks to proactively detect data anomalies, ensuring platform-release reliability within strict SLA timelines and avoiding downstream impact.
  • Lead cross-functional requirement-gathering sessions with product, engineering, and business stakeholders to design scalable AI/ML proof-of-concept solutions.

Business Analyst Intern - Impact Analytics - Bengaluru, India

(2024-11 - 2025-05)

  • Led System Integration Testing (SIT) and User Acceptance Testing (UAT) validation cycles, managing client and internal communication to ensure defect-free platform deployment.
  • Authored granular user manuals and system-process documentation to accelerate data literacy and product adoption across user cohorts.
  • Created executive presentation decks, automated KPI reports, and analytical notes to translate complex statistical outputs into actionable operational insights.

Education

Bachelor of Engineering (B.E.) - Information Science and Engineering - Siddaganga Institute of Technology (SIT) (2025)

Skills

Business Analyst1.8 YrsSQL Python Power BIRetail & Supply Chain

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