Chirag B.

London Chapter Coordinator at Tetra Society Of North America

Based in Mumbai, India

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Seniority

Other

Department

Other

Location

Mumbai

Industry

Civic and Social Organizations

Company size

35

Contact information

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Email

1 credit

c•••••••@tetrasociety.org

Phone

5 credits

+91 ••• •••• ••••

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Background

About Chirag B.

I never thought volunteering at a tech accessibility event would spark my passion for data.It started with organizing logistics for custom assistive devices. I began tracking build timelines, resource flow, and fulfillment delays. The patterns I noticed in spreadsheets and visual charts didn’t just improve our project flow they lit a spark.I realized I wasn’t just helping organize. I was analyzing. Predicting. Optimizing. And I wanted to do more.So I dove into data.From my early days studying computer engineering in India to hands-on problem-solving in Canada, I built my toolkit across multiple dimensions: analytics, visualization, automation, and cloud platforms. Whether volunteering at a hackathon or working late nights during my graduate programs, I found one consistent theme transforming raw data into clarity.Along the way, I’ve merged real-world experience with technical precision. I’ve supported cloud-based reporting workflows, built dashboards that decision-makers trust, and modeled churn behavior with sharp accuracy.Here are a few ways I’ve brought data to life:Improved project throughput by 46% through milestone dashboards, Gantt timelines, and capacity planning at Tetra SocietyExtracted health data insights across records, raising correlation accuracy by 37% at Data for GoodReduced ingestion failure rates by 64% with custom data cleaning pipelines and schema validation scriptsEnhanced dashboard responsiveness by 42% using Power BI visuals, bookmarks, and data-layer optimizationBoosted segmentation depth by 47% via recursive SQL queries and interval-based customer profilingCut analysis turnaround by 61% using Power BI automation features like decomposition trees and KPI logicI’m actively looking to collaborate on data-driven roles where I can combine analysis, visualization, and process improvement.

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