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Rajeevan Madabushi

@rajeevanmadabushi

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Data Analyst and engineer turning complex datasets into dashboards, forecasts, and actionable decisions.

United States

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What I'm looking for

I’m looking for a role where I can own analytics-to-decision delivery—building reliable dashboards, automated pipelines, and predictive/AI insights—while collaborating with cross-functional stakeholders and focusing on data accuracy and measurable business impact.

I’m a Data Analyst with 6+ years of experience collecting, analyzing, and interpreting complex datasets to drive business decisions across financial services, telecom, and technology. I’m known for building executive-ready reporting—dashboards, KPI frameworks, and recurring/ad-hoc analyses—while ensuring data accuracy through rigorous validation and anomaly investigation.

In recent roles, I’ve created and maintained Power BI and Tableau dashboards that deliver real-time visibility into key metrics, and I’ve automated reporting pipelines to reduce manual review cycles and operational friction. At Truist, I delivered Archer-based dashboards and automated intelligence for senior leadership, reducing manual review cycles by 35% through more trusted, timely reporting.

I also bring strong engineering depth to data work, including ETL/ELT pipeline development with Apache Spark/PySpark, Kafka, and Airflow, plus cloud platforms such as AWS and GCP. I’ve applied ML and applied AI (including RAG pipelines and multi-agent systems) to turn raw signals into decision-ready insights—whether for fraud detection, environmental predictive modeling, or real-time sentiment and trend analytics.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer – Data Analytics & BI

Current

XpressGlobal IT Solutions

Apr 2026 - Present (3 months)

Collected, analyzed, and interpreted operational data from multiple sources using SQL and Python to identify trends and deliver actionable insights. Built and maintained Power BI/Tableau dashboards and recurring/ad-hoc reports with data validation and anomaly investigation.

SQL Python Power BI Tableau Dashboard Development Data Validation Anomaly Investigations Trend Analysis Data Reporting

Software Engineer – GRC & Data Analytics

Truist Financial (via Infosys)

Jul 2025 - Mar 2026 (8 months)

Analyzed compliance and risk datasets using SQL and Python to inform strategic decisions across business units. Created Archer-based dashboards and automated reporting pipelines, improving reporting efficiency by reducing manual review cycles by 35%.

SQL Python Archer Compliance Analytics Risk Analytics Data Quality Analysis Data Validation KPI Reporting

Software Engineer – ML & Data Analytics

DreamStudio

May 2024 - Jul 2025 (1 year 2 months)

Analyzed environmental datasets with Python to identify trends and build predictive models. Developed interactive dashboards and automated data pipelines, and improved model accuracy by 16% while reducing manual reporting effort.

Python Pandas NumPy scikit learn predictive modeling Data Visualization Dashboard Development Data Pipelines

Graduate Teaching Assistant

University of Maryland College Park

Jan 2023 - May 2024 (1 year 4 months)

Facilitated data analysis labs covering Python, SQL, and visualization tools, and mentored students on translating data into actionable insights for non-technical audiences. Supported learning through hands-on instruction and guidance.

Python SQL Data Analysis Data Visualization Mentor Teaching

Member of Technical Staff

Verizon

Jul 2018 - Aug 2022 (4 years 1 month)

Collected and analyzed large-scale transactional and behavioral data using SQL and Apache Spark to identify fraud trends and provide actionable insights. Improved system efficiency by 40% via SQL query optimization and reduced manual review effort by 80% through reporting and validation improvements.

SQL Apache Spark Fraud Analytics Data Reporting Dashboard Development Data Validation Query Optimization

Co-Founder, AI Analytics Platform

Nurturiq.ai

Co-built an AI analytics platform under development, including real-time dashboards, automated reporting pipelines, and actionable insight delivery. Designed multimodal and RAG-based pipelines and built a full-stack application.