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Darshana Parle

@darshanaparle

Data analyst at L&T Energy Hydrocarbons who built a Microsoft Fabric SCM data platform, reducing Power BI model size by ~72%.

India

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At L&T Energy Hydrocarbons, I architected a Microsoft Fabric Lakehouse for fragmented supply chain data and built automated transformation and quality pipelines. The platform cut Power BI model size by ~72% and reduced issue-detection time from days to hours.

At Reliance General Insurance Co Ltd, I developed SAS fraud-detection rules and a logistic regression risk model for PM-JAY claims. My projects include a regime-based portfolio strategy for Indian markets and an NLP system matching patients to clinical trials.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

L&T Energy Hydrocarbons

Feb 2026 - Jun 2026 (4 months)

Architected a Medallion-based Lakehouse on Microsoft Fabric to establish a governed data platform for supply chain management. Built automated data pipelines and Power BI dashboards, and developed an AI-driven self-service analytics proof-of-concept.

Microsoft Fabric Azure Dataflow PySpark Power BI DAX Data Modeling Data Pipelines ETL Data Quality Generative AI Natural Language Processing

Data Analyst Intern

Reliance General Insurance Co Ltd

May 2025 - Jun 2025 (1 month)

Built and scaled a rule-based SAS fraud-detection system for PM-JAY health insurance claims across two states. Developed a predictive logistic regression model using WOE/IV feature engineering and modularized the workflow to cut processing time by 62.5%.

SAS Fraud Detection Logistic Regression WOE (Weight Of Evidence)Information Value (IV)Risk Scoring Data Processing Process Automation