Aditya Kapil
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// PRODUCTION DEPLOYMENTS & ARCHITECTURAL CASE STUDIES · SECTION 04

Flagship Systems & Production Impact

Technical architecture breakdowns of production systems, projects, and repositories this candidate has attached to their dossier.

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SYSTEM 01 // PROJECTRole: FEATURED PROJECT

AI-Powered Business Intelligence Dashboard

Built a BI pipeline that pulls in sales, ops, and engagement data from multiple sources into Power BI dashboards tracking 15+ KPIs. Applied ARIMA and linear regression to forecast monthly revenue and churn. Integrated the OpenAI API to generate natural-language explanations of KPI anomalies and summaries for non-technical users.

TechnologyPython
StackSQL
PlatformPower BI
Outcomeforecast monthly revenue and churn with 89% directional accuracy, reducing manual analysis time by 70%Self-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 02 // PROJECTRole: FEATURED PROJECT

Customer Churn Prediction and Segmentation Model

Analyzed 50,000+ customer records using SQL and pandas, performing EDA and feature engineering to surface churn drivers. Built Random Forest and XGBoost classification models. Ran RFM segmentation and cohort analysis, and automated a weekly churn risk-score refresh with segment insights visualized in Power BI.

TechnologyPython
Stackscikit-learn
PlatformSQL
Outcomeachieving 86% accuracy for customer churn prediction and retention strategy expected to cut churn by 22%Self-reported
Metric 02—Pending
Metric 03—Pending
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// INTERVIEW ENGINE

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// RECRUITMENT & ADVISORY ENGAGEMENTS

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Full verification packet containing source artifacts, production traces, and formal proofs available for prospective leadership roles once attested.

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