Hi, I’m Nithin Reddy Pedda Chenchi Reddy Gari. I’m a data analyst with 4+ years of experience across software, gaming, and enterprise platforms, turning messy operational, billing, and inventory data into decision-ready insights. I specialize in SQL, Excel (Power Query, VBA), and Power BI (DAX) to reconcile POs, invoices, shipments, and usage data, recover revenue, and improve cost accuracy. I enjoy collaborating with finance, operations, QA, and product teams in fast-moving environments to reduce delays, disputes, and manual reporting. I’m proactive, detail-oriented, and focused on delivering reliable data models, anomaly tracking, and governance-friendly outputs that support timely decision-making.

Nithin Reddy Pedda Chenchi Reddy Gari

Hi, I’m Nithin Reddy Pedda Chenchi Reddy Gari. I’m a data analyst with 4+ years of experience across software, gaming, and enterprise platforms, turning messy operational, billing, and inventory data into decision-ready insights. I specialize in SQL, Excel (Power Query, VBA), and Power BI (DAX) to reconcile POs, invoices, shipments, and usage data, recover revenue, and improve cost accuracy. I enjoy collaborating with finance, operations, QA, and product teams in fast-moving environments to reduce delays, disputes, and manual reporting. I’m proactive, detail-oriented, and focused on delivering reliable data models, anomaly tracking, and governance-friendly outputs that support timely decision-making.

Available to hire

Hi, I’m Nithin Reddy Pedda Chenchi Reddy Gari. I’m a data analyst with 4+ years of experience across software, gaming, and enterprise platforms, turning messy operational, billing, and inventory data into decision-ready insights. I specialize in SQL, Excel (Power Query, VBA), and Power BI (DAX) to reconcile POs, invoices, shipments, and usage data, recover revenue, and improve cost accuracy.

I enjoy collaborating with finance, operations, QA, and product teams in fast-moving environments to reduce delays, disputes, and manual reporting. I’m proactive, detail-oriented, and focused on delivering reliable data models, anomaly tracking, and governance-friendly outputs that support timely decision-making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

Javanese
Advanced
Bashkir
Advanced
English
Fluent

Work Experience

Software Engineer II at Sony Pictures Entertainment
February 1, 2022 - Present
Led end-to-end automation initiatives in Smart Engine Automation. Migrated and re-architected the Robot Framework test repository (~400 test cases) from Robot Keywords to structured Behavior Driven Development (BDD) style test cases to improve readability for business stakeholders. Optimized 1,000+ XPath patterns across the test suite to boost maintainability and accelerate in-sprint automation. Refactored XPaths from static to relative, reducing fragility by ~40% and cutting test maintenance time in half. Set up an end-to-end DevOps pipeline integrating Robot Framework suites with AWS CodeBuild and AWS Test Lab, enabling regression execution twice per release cycle; reduced manual QA effort by ~65% and increased automation coverage by ~40%. Coordinated cross-team planning across Smart Engine, GOLD, PRISMHUB, and Smart Reporting to align sprint delivery timelines and dependencies. Designed automation test cases to upload and process 5,000–10,000+ invoices, validating large-scale fina
Software Engineer Intern at Fellowship.AI
May 1, 2021 - August 1, 2021
Developed and deployed RESTful Flask services to serve real-time predictions from machine learning models; integrated APIs with frontend workflows. Prepared and preprocessed image datasets for ML training pipelines, from email campaign creatives, improving data quality and downstream model performance.
Cashless Analyst at Intralot
July 1, 2025 - Present
Automated data reconciliation pipelines for vendor invoices, GRNs, and accruals using Advanced Excel (VBA) and Power Query, reducing manual data processing time by 20% and improving dataset accuracy used in reporting. Analyzed supplier billing, freight, and settlement datasets using SQL and Excel, identifying recurring variance patterns and contributing to $120K recovery while lowering repeat anomalies by 18%. Designed Power BI dashboards integrating PO, shipment, receipt, and settlement data; applied DAX measures to monitor fill rate, invoice accuracy, and settlement lag, reducing exception resolution time from days to hours. Developed SQL-based data matching and validation logic to reconcile multi-source transactional data, shrinking unmatched records and improving reliability of month-end analytical outputs. Partnered with operations and QA teams to validate POS and warehouse scanning data through structured test cases, improving data completeness and reducing downstream reporting e
Data Analyst at ServiceNow
September 1, 2024 - May 1, 2025
Analyzed purchase orders, supplier lead times, and receipt data using SQL and Excel, identifying recurring delays across key vendors and supporting actions that improved on-time delivery by 15%. Built automated supply performance trackers in Excel and Power BI, monitoring fill rate, backlog, and aging inventory, reducing manual reporting effort by 30% for planning teams. Created demand vs supply variance views by combining forecast data and actual shipments using SQL and Power Query, helping planners adjust replenishment plans and avoid short-term stock-outs. Developed supplier scorecards using Power BI and DAX to track invoice accuracy, cycle time, and defect rates, contributing to a 12% reduction in repeat supplier issues over two quarters. Supported month-end close by reconciling inventory movements, receipts, and vendor invoices using SQL and Excel, improving cost accuracy and cutting reconciliation follow-ups by 25%.
Data Analyst at Advaana Inc.
August 1, 2019 - July 1, 2022
Analyzed customer usage logs, billing records, and support tickets using SQL and Excel, identifying churn and adoption patterns that supported a 10% improvement in customer retention. Built recurring product and revenue dashboards in Power BI, tracking active users, feature usage, and renewal trends, reducing ad-hoc reporting requests by 35%. Created data models in SQL to combine CRM, subscription, and transaction tables, improving data consistency for sales and finance reporting during quarterly reviews. Automated monthly KPI reporting using Excel and Power Query, cutting manual data prep time by 40% and improving turnaround for leadership updates. Partnered with product and customer success teams to define metrics around feature usage and issue resolution, using SQL extracts and Power BI visuals to support roadmap and support staffing decisions.

Education

Masters in Information Systems at California State University
January 1, 2020 - January 1, 2022
Masters in Information Systems at California State University, USA
January 1, 2020 - January 1, 2022
Master of Science in Information Technology at University of Texas at Dallas
January 11, 2030 - August 1, 2024
Bachelor of Technology in Computer Science at CVR College of Engineering
January 11, 2030 - July 1, 2021

Qualifications

AZ-900 Azure Fundamentals
May 1, 2022 - January 15, 2026
Meta Frontend Engineer
July 1, 2025 - January 15, 2026
AZ-900 Azure Fundamentals
May 1, 2022 - January 26, 2026
Meta Frontend Engineer
July 1, 2025 - January 26, 2026

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Gaming, Financial Services