Senior Data Analyst specializing in
cloud analytics, data warehousing, and executive reporting
Building trusted analytics across finance, workforce, and operations using AWS, Azure, GCP, SQL, and Python.
About Me.
I’m a Senior Data Analyst with experience designing cloud-based data platforms and analytics solutions that support executive decision-making.
My work focuses on data warehousing, KPI governance, and financial analytics—helping organizations move from fragmented reporting to trusted, auditable insights.
Master of Science, MIS
Christian Brothers University • GPA: 3.88
Data Engineering
Architecting robust ETL pipelines and Snowflake warehouses that ensure data integrity and accessibility.
Strategic Analytics
Translating complex datasets into intuitive Power BI dashboards that drive high-level executive decision-making.
Process Automation
Replacing manual Excel workflows with automated Python & SQL scripts to reduce error and save hundreds of hours.
Career Trajectory.
A history of delivering high-impact data solutions across global enterprises.
Senior Data Analyst
StarTech Networks Inc.
- Risk Framework: Developed an enterprise-wide, report-level data risk framework that enables all reporting teams to consistently assess data completeness, transformation accuracy, refresh timeliness, dependency risks, and business impact.
- Scoring Model: Designed and implemented an exposure-based scoring model leveraging control maturity, lineage depth, and dependency indicators to accurately classify reporting assets by risk tier, enabling more effective risk management and strategic decision-making.
- Data Controls: Implemented validation, reconciliation, and checkpoint controls within Snowflake and Redshift, reducing reporting defects and increasing trust in downstream analytics.
- Agile Leadership: Led control testing sprints using Agile methods and JIRA, validating logic effectiveness and refining scoring thresholds, which improved model accuracy and reduced false-positive alerts by 15%, leading to faster issue resolution.
- Warehouse Engineering: Engineered a centralized cloud warehouse replacing fragmented spreadsheets, enabling consistent governed reporting across business units.
- Governance: Redesigned KPI governance logic within Power BI semantic models, reducing executive metric disputes by 40%.
- Documentation: Authored audit-aligned documentation, validation protocols, lineage maps, and remediation workflows that improved audit readiness and reduced issue resolution time.
Data Analyst, Finance & Analytics
Qualcomm (via Sodexo)
- Analytics: Delivered financial and workforce analytics that increased forecasting and budgeting accuracy and supported better decision-making.
- Reconciliation: Built reconciliation frameworks and financial reporting controls that improved audit readiness and compliance, resulting in faster and more accurate financial statements.
- Anomaly Detection: Defined anomaly detection thresholds to spot variances before month-end close, which improved financial accuracy, enabled faster issue resolution, and reduced last-minute adjustments.
- Automation: Automated reporting workflows using Python and SQL, reducing processing time by 50%.
- Issue Tracking: Worked with finance and audit leaders to create clear issue-tracking and remediation documentation in SharePoint, leading to faster resolution times and easier audit reviews.
- Root Cause Analysis: Performed root cause analysis on transformation logic to find control failures and lineage gaps, leading to fixes that improved data quality and process reliability.
- Standardization: Standardized KPIs and governance documentation, reducing reporting discrepancies by 20%.
- Mentorship: Mentored analysts on governance-aligned analytics and control-oriented data engineering, resulting in improved data quality and a 20% increase in reporting consistency across the team.
Education
Christian Brothers University
Master of Science, Computer Information Systems (GPA: 3.88)
Jan 2024 - Dec 2025
Narasimha Reddy Engineering College
Bachelor of Technology, Computer Science Engineering
Apr 2014 - May 2018
Key Achievements.
Measurable impact delivered through data engineering and analytics.
Reduced executive metric disputes by 40% through redesigned KPI governance logic.
Improved model accuracy and reduced false-positive alerts by 15% via optimized scoring thresholds.
Automated financial reporting workflows using Python and SQL, reducing processing time by 50%.
Built a high-scale risk detection engine processing 3M+ Snowflake transactions, identifying $1.2M at-risk revenue.
Maintained a 3.88 GPA during Master of Science in Computer Information Systems.
Technical Arsenal.
A comprehensive toolkit for data engineering, advanced analytics, and scalable visualization.
Data Analytics & Engineering
Data Governance & Risk
Reporting & BI
Financial & Operational Analytics
Selected Works.
Architecting data pipelines and visualization layers that drive enterprise value.
Enterprise Credit Risk & Portfolio Health Analytics
Built a high-scale risk detection engine processing 3M+ Snowflake transactions, identifying $1.2M at-risk revenue while reducing false positives by 20%.
Student Retention Intelligence Engine
Deployed a churn prediction microservice (Docker + Scikit-Learn) with 89% accuracy, contributing to $2M+ in retained tuition revenue.
Market Opportunity & Consumer Behavior Analysis
Strategic market analysis using SQL and Power BI to identify high-value expansion zones and optimize pricing strategies.
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