Data Intelligence.
Engineered.
Hi, I'm Sai Vineeth Reddy Suravi.
A Data Analyst turning complex datasets into strategic decisions.
About Me.
I am a Senior Data Analyst with over 5+ years of experience bridging the gap between technical engineering and business strategy.
My career is built on a foundation of discipline and precision. Whether optimizing payroll operations for global enterprises or architecting enterprise Snowflake data warehouses for banking institutions, my goal remains the same: to deliver absolute clarity and financial impact through data.
I don't just query data; I build the scalable infrastructure that makes data reliable, actionable, and secure. My background spans finance, workforce intelligence, and risk management, where I have consistently automated complex workflows to drive operational excellence and protect multi-million dollar revenue.
Master of Science, MIS
Christian Brothers University • GPA: 3.88
Bachelor of Technology, CSE
Narasimha Reddy Engineering College
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
- Reduced metric disputes by 40% and improved leadership decision confidence by building a KPI governance framework across Finance, Operations, and HR.
- Designed and deployed a Snowflake warehouse supporting 3M+ monthly transactions; optimized SQL to reduce dashboard latency by 35% and enable near real-time monitoring.
- Improved reporting consistency by 40% by centralizing analytics in Power BI and implementing star-schema models for 50+ stakeholders.
- Built AI-assisted automation workflows to generate data-quality checks and reporting templates, reducing manual validation by 20% monthly and saving $50K+ annually.
- Owned analytics end-to-end - from data ingestion and modeling to dashboard delivery - enabling faster, data-driven decisions across product and operations.
- Cloud Cost Optimization: Conducted a rigorous audit of cloud compute usage, identifying and refactoring inefficient queries that reduced monthly Snowflake credits by 25%.
- Strategic Stakeholder Management: Acted as the primary bridge between technical teams and non-technical VPs, translating complex data limitations into clear strategic options.
- Team Mentorship: Led bi-weekly 'Code & Coffee' sessions to upskill 4 junior analysts in Python and Advanced SQL, fostering a culture of engineering excellence.
Data Analyst – Finance & Analytics
- Automated global finance workflows using Python, reducing processing time by 2 analyst days/month and improving accuracy by 20%.
- Built executive Tableau dashboards consolidating global KPIs, reducing time-to-insight by 40% and accelerating leadership decision cycles.
- Developed SQL-based validation and reconciliation frameworks ensuring zero discrepancies across quarterly audits.
- Built a scalable compensation reporting engine (Python + SQL) supporting 5000+ employees annually with zero compliance incidents for 3 years.
- Reduced metric disputes by 30% by implementing data governance practices and mentoring junior analysts.
- Analyzed KPIs and ran experiments that drove a 10% increase in key product metrics and helped leadership prioritize successful initiatives.
🎓 Education
Christian Brothers University
MS, Computer Information Systems (GPA: 3.88)
Jan 2024 - Dec 2025
Narasimha Reddy Engineering College
B.Tech, Computer Science
Apr 2014 - May 2018
Key Achievements.
Measurable impact delivered through data engineering and analytics.
Reduced metric disputes by 40% at StarTech Networks through KPI governance.
Identified $1.2M in at-risk revenue via Enterprise Credit Risk Analytics.
Contributed to $2M+ in retained tuition revenue via Student Retention Intelligence Engine.
Automated daily risk pipelines achieving 99.9% accuracy and eliminating manual intervention.
Reduced dashboard latency by 35% by optimizing Snowflake warehouse SQL.
Technical Arsenal.
A comprehensive toolkit for data engineering, advanced analytics, and scalable visualization.
SQL & Data Engineering
Analytics & Experimentation
Tools & Programming
Automation & AI Support
Selected Works.
Architecting data pipelines and visualization layers that drive enterprise value.
Enterprise Credit Risk Analytics
Built a risk monitoring pipeline for 3M+ transactions, identifying $1.2M at-risk revenue.
Student Retention Intelligence Engine
Developed a retention analytics solution to identify at-risk students, contributing to $2M+ retained tuition revenue.
Predictive Sales & Inventory Forecasting
Interactive forecasting engine combining Power BI visualization with Python-based time-series modeling (ARIMA) for supply chain optimization.
Workforce Attrition Risk Analytics
HR analytics platform utilizing survival analysis to predict employee turnover and identify flight risks.
Financial Loan Analytics
Comprehensive analysis of loan data to identify risk factors, default trends, and financial performance.
Market Opportunity & Consumer Behavior Analysis
Strategic market consulting analysis identifying 'Blue Ocean' dining opportunities using statistical segmentation and Power BI.
Biometric Identity Verification Service
Enterprise-grade face recognition API (FastAPI + OpenCV) deployed as a Docker microservice.
Growth Outreach Automation Platform
Cross-platform Python automation engine for high-volume, personalized cold email outreach.
Hotel Revenue Intelligence & Cancellation Prediction
ML-driven revenue management system identifying high-risk cancellations to mitigate revenue leakage.
Snake AI: Reinforcement Learning Research Environment
Deep Reinforcement Learning simulation environment for training DQN agents in competitive spatial navigation.
Ready to collaborate?
Unlock the potential of your data. Let's discuss how I can help your team.
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