Open to opportunities

Atul Oraon

@otaula

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I build Power BI dashboards and predictive models from business data.

India

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What I'm looking for

I'm looking for opportunities to analyze business data, build Power BI dashboards, develop predictive models, and contribute to data-driven decisions using Python, SQL, and machine learning.

I've analyzed telecom, sales, and banking datasets to turn raw data into actionable business insights. My work includes customer churn prediction, regional sales analysis, and banking risk analytics using Python, SQL, Power BI, and machine learning.

For a telecom churn project, I analyzed 5,000+ records, built Random Forest and XGBoost models that reached 86% prediction accuracy, and developed a Power BI dashboard tracking 10+ churn KPIs and customer segments.

I've also examined 64K+ sales records for revenue, profit, product, channel, and regional trends, and created banking dashboards covering $143M+ in loans and deposits with 15+ DAX measures.

During my Full Stack Developer internship at Softegy Technology, I reduced page load time from 4–5 seconds to 1.5–2 seconds through lazy loading, dynamic imports, and optimization. I also led the GDG on Campus community, organizing technical events for 700+ attendees.

Experience

Work history, roles, and key accomplishments

Full Stack Developer Intern

Softegy Technology

Jan 2025 - Aug 2025 (7 months)

Reduced page load time from 4-5s to 1.5-2s using lazy loading, dynamic imports, and optimization. Improved First Contentful Paint (FCP) and responsive user experience across devices. Implemented backend features using Prisma Transactions, rate limiting, middleware, and validation.