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I am a data, business, financial, and reporting analyst with a passion for turning data into actionable insights. I blend technical expertise with business acumen to drive decision support, optimize processes, and improve regulatory compliance across healthcare, consulting, education, and technology. I enjoy building scalable dashboards, automating ETL and reporting, and partnering with stakeholders to deliver tangible outcomes. Beyond the numbers, I care about clear communication, reusable analytics, and governance. I thrive in cross-functional teams, mentor peers in BI tooling and analytics, and continuously learn new techniques to keep ahead of industry trends and regulatory requirements.…I am a data, business, financial, and reporting analyst with a passion for turning data into actionable insights. I blend technical expertise with business acumen to drive decision support, optimize processes, and improve regulatory compliance across healthcare, consulting, education, and technology. I enjoy building scalable dashboards, automating ETL and reporting, and partnering with stakeholders to deliver tangible outcomes. Beyond the numbers, I care about clear communication, reusable analytics, and governance. I thrive in cross-functional teams, mentor peers in BI tooling and analytics, and continuously learn new techniques to keep ahead of industry trends and regulatory requirements.

Anirudh Reddy Kallu

Data Analyst, Data Scientist, Full Stack Developer, +2

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I am a data, business, financial, and reporting analyst with a passion for turning data into actionable insights. I blend technical expertise with business acumen to drive decision support, optimize processes, and improve regulatory compliance across healthcare, consulting, education, and technology. I enjoy building scalable dashboards, automating ETL and reporting, and partnering with stakeholders to deliver tangible outcomes. Beyond the numbers, I care about clear communication, reusable analytics, and governance. I thrive in cross-functional teams, mentor peers in BI tooling and analytics, and continuously learn new techniques to keep ahead of industry trends and regulatory requirements.…I am a data, business, financial, and reporting analyst with a passion for turning data into actionable insights. I blend technical expertise with business acumen to drive decision support, optimize processes, and improve regulatory compliance across healthcare, consulting, education, and technology. I enjoy building scalable dashboards, automating ETL and reporting, and partnering with stakeholders to deliver tangible outcomes. Beyond the numbers, I care about clear communication, reusable analytics, and governance. I thrive in cross-functional teams, mentor peers in BI tooling and analytics, and continuously learn new techniques to keep ahead of industry trends and regulatory requirements.

Available to hire

I am a data, business, financial, and reporting analyst with a passion for turning data into actionable insights. I blend technical expertise with business acumen to drive decision support, optimize processes, and improve regulatory compliance across healthcare, consulting, education, and technology. I enjoy building scalable dashboards, automating ETL and reporting, and partnering with stakeholders to deliver tangible outcomes.

Beyond the numbers, I care about clear communication, reusable analytics, and governance. I thrive in cross-functional teams, mentor peers in BI tooling and analytics, and continuously learn new techniques to keep ahead of industry trends and regulatory requirements.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst / BI Consultant at McKesson

May 1, 2025 - November 4, 2025

Engineered enterprise-wide Power BI and Qlik Sense dashboards integrating SQL Server, AWS Redshift, and Oracle ERP; streamlined ETL pipelines via Informatica, Talend, and Snowpipe; analyzed millions of claims to identify fraud patterns and risk factors; reinforced HIPAA and GDPR compliance with Collibra and MDM, reducing audit exceptions; guided 50+ business users in BI adoption and self-service reporting.

Data Analyst / BI Engineer at McKinsey & Company

May 1, 2025 - May 1, 2025

Constructed financial exposure dashboards in Tableau, Power BI, and Cognos; optimized ETL pipelines in Airflow using SQL and PySpark for BigQuery, Redshift, and Snowflake; developed forecasting and risk models using Monte Carlo simulations; strengthened governance with Informatica Axon and Collibra, ensuring SOX compliance; improved query performance and enabled CI/CD deployment via Jenkins, Docker, and PowerShell; supported client investment strategies with scenario analyses.

Graduate Assistant – Data Analytics at Purdue University Northwest

May 1, 2024 - May 1, 2024

Automated academic and operational reporting with SQL, Power Query, and VBA; built predictive models in SPSS, R, and MATLAB to forecast student success; integrated SAP and Oracle Financials dashboards to optimize scheduling and faculty allocation; applied Python-based enrollment forecasting achieving high accuracy; standardized accreditation reporting templates in Cognos, improving compliance documentation.

Data Analyst at Airbnb

June 1, 2022 - June 1, 2022

Analyzed 1.5M+ transactions to identify fraud risks, saving $3M annually; built ETL pipelines with Informatica and Talend consolidating data from MongoDB and APIs into BigQuery and Snowflake; created compliance and fraud dashboards in SAP BO, Tableau, and QlikView surfacing 300+ suspicious listings; developed segmentation and targeting models with PySpark and R; implemented data governance using Collibra and Alation; consolidated financial KPIs from NetSuite and QuickBooks into Cognos dashboards.

Data Analyst Intern at Airbnb

July 1, 2021 - July 1, 2021

Extracted and validated 500K+ guest activity records with SQL and Python; built Excel dashboards with VBA and PivotTables later migrated to Power BI; validated ETL data flows across MongoDB, DynamoDB, and PostgreSQL; explored anomaly detection with MATLAB and R; documented workflows to accelerate team onboarding.