Hello

My name is Sai Pradeep Kalluru

"With a strong passion for data analytics, I thrive on turning raw information into powerful insights that drive smarter decisions, meaningful impact, and business success."

My Academic Journey

I pursued my undergraduate degree in Computer Science Engineering, building a solid foundation in logical thinking, data structures, and system design.

Later, I completed my master's in Business with Financial Management from Northumbria University, London, expanding my expertise in business strategy, analytics, and finance.

Key Expertise & Proficiencies

Strategic Data Capabilities for Business Impact

I specialize in transforming complex data into clear, actionable insights that drive smarter business decisions and measurable growth. My core competencies span across robust technical skills, advanced analytical methodologies, and effective stakeholder engagement.

Analytical Toolkit & Technical Mastery

SQL (SSMS) Power BI Dashboarding Tableau Visualization Python for Data Analysis(Pandas&Numpy) Amazon QuickSight Analytics Excel (Advanced Modeling) Prompt Engineering for AI

Insight Generation & Strategic Reporting

End-to-End Data Cleaning Data Transformation Workflows Business Intelligence Development Actionable Dashboard Creation KPI Framework & Reporting Data Storytelling & Narrative Building

Data Engineering & Management

Comprehensive Data Validation Relational Data Modeling Database Query Optimization

Cross-Functional Collaboration & Communication

Impactful Data Presentations Stakeholder Engagement Bridging Technical & Business Needs Collaborative Problem Solving

Professional Experience

Data Analyst

Institute for Academic Excellence | Hyderabad, India | Oct 2023 – Oct 2025

Delivered data-driven consulting for 10+ higher education institutions, analyzing large-scale datasets to support NAAC/NIRF ranking improvements and institutional strategy.
Designed and automated ETL workflows using SQL and Python for data extraction, cleaning, and validation, improving data reliability to 99.9% for reporting and analytics.
Built 10+ interactive Power BI dashboards integrated with SQL data pipelines to monitor KPIs such as faculty performance, research output, and institutional metrics.
Conducted data analysis and modeling using Python to identify performance gaps and provide actionable insights for accreditation, compliance, and resource planning.
Collaborated with senior academic stakeholders to translate complex data insights into executive dashboards, kpi reporting, and strategic recommendations.

Technologies/Tools: SQL, Python, Power BI, Tableau, ETL, MS Excel, Powerpoint

Production Operative (Part-time)

Precision Proco Group (via Indeed Flex) | London, UK | Sep 2021 - Sep 2023

Ensured operational efficiency by maintaining 100% Dispatch on Time (DOT) for customer orders, upholding high service quality and reliability.
Consistently achieved and exceeded production targets, contributing to overall operational success and efficiency.
Fostered strong team collaboration, coordinating efforts to meet tight deadlines while maintaining workflow efficiency.

Skills: Operational Efficiency, Team Collaboration, Production Targets

Transportation Specialist

Amazon | Hyderabad, India | Jul 2018 – Jan 2020

Demonstrated performance excellence, earning multiple 'Star Performer' awards for efficiently resolving 100+ daily payment and logistics queries.
Optimized processes and identified operational gaps, leading to 2% effort-hour savings by enhancing Standard Operating Procedures (SOPs).
Led team development initiatives, mentoring 30+ team members in logistics and last-mile technology, resulting in improved team efficiency and performance.
Developed strong technical skills in Excel and SQL, enhancing data analysis capabilities through advanced training sessions.

Skills: Logistics, Process Optimization, Excel, Mentoring

My Dashboards Showcase

Tableau Dashboard

PowerBI Dashboard

Tableau Dashboard

Amazon QuickSight Dashboard

Projects

Automated ETL Pipeline Project of Sales Data Analysis and Reporting using SQL, Python, and Power BI

Automation and ETL Engineering

Architected and implemented an end-to-end ETL pipeline utilizing Python (Pandas, gspread) to automatically extract and cleanse over 250,000 live sales records from fragmented Google Sheet sources.
Engineered high-volume data loading by deploying Python’s batch loading (chunking) capabilities into a SQL Server staging table, optimizing transfer speed and preventing system overload.
Established a fully automated workflow using Windows Task Scheduler to trigger the entire Python and SQL process, eliminating all manual data extraction and reconciliation steps.

Data Integrity and SQL Development

Developed a dedicated SQL Stored Procedure leveraging the MERGE statement to enforce data integrity by performing reliable Upserts (updating existing records and inserting new transactions) into the final reporting table.
Resolved data reliability issues and guaranteed data consistency by standardizing data types and implementing date conversions during the transformation phase, reducing historical data discrepancies.

Business Intelligence and Impact

Designed and deployed a dynamic, self-refreshing Power BI dashboard, linked via the On-premises Data Gateway, providing executive teams with immediate, accurate visualization of sales trends, profitability, and regional performance.
Reduced data latency, enabling near real-time decision-making and eliminating extra time per day spent on reporting.

View Python Script View SQL Script → View Case Study of the project

Check the visualizations of the analysis

Certifications & Trainings

The dynamic nature of technology excites me, and I actively embrace a culture of lifelong learning, diligently acquiring new skills and staying on a level with the latest advancements to deliver cutting-edge results.