Supply Chain Financial Data

SAI CHARAN REDDY BANALA

**********************@*****.***, +1-978-***-****, LinkedIn

SUMMARY

I am Proficient in SAP Data Analytics with expertise in Oracle, SQL, Python, and Tableau for reporting and supply chain optimization. I am skilled in financial data analysis, workflow automation, and SAP integration. Experienced in optimizing SAP infrastructure with Azure, AWS, and streamlining development using Agile and CI/CD. Implemented master data governance, improving accuracy by 20%, and automated processes to enhance efficiency by 30%, ensuring compliance through comprehensive system testing. Involved in business requirements gathering and preparation of functional documentation such as BR100 and MD050 for finance modules including AP, AR, and GL. Participated in fit-gap analysis sessions with stakeholders and supported testing activities including UAT, regression, and validation. Automated financial data reconciliation and invoice processing using Python, aligning with Oracle Cloud AP workflows. Developed API-based integrations for real-time data exchange between financial systems and third-party applications. Supported data migration using ETL pipelines with error handling and validation. Contributed to secure transaction processing by applying compliance protocols and implemented CI/CD pipelines to streamline financial deployment processes in alignment with ERP Cloud practices. Proficient in trade lifecycle operations including position and cash reconciliations, risk reporting, and automated exception management. Exposure to financial data structures across equities and FX modules within ERP integrations and reporting systems. Experience designing scalable, backend automation logic with Python and readiness to adopt Go for robust process pipelines. Built operational dashboards for tracking KPIs, P&L insights, and compliance-related metrics using Tableau and SQL. Owned end-to-end reconciliation workflows, including escalation handling and validation logic for cash and position mismatches

SKILLS

Programming Languages: Python (NumPy, Pandas, Matplotlib), SQL, Java, JavaScript

SAP Analytics & Business Intelligence: SAP BW, SAP Analytics Cloud, Tableau

Testing & Performance Optimization: SAP LoadRunner, JMeter, Python-based automation frameworks

Cloud & Infrastructure: AWS, Azure, SAP BTP (Business Technology Platform)

PROFESSIONAL EXPERIENCE

Tech Mahindra, USA 04/2023 -Present

Business Analyst

Develop advanced SQL scripts and Python-based automation to extract insights from SAP databases, reducing manual efforts and improving efficiency.

Contributed to Oracle ERP Cloud implementation by gathering finance module requirements (AR, AP, GL) and preparing functional design documents including BR100 and MD050

Automated financial data reconciliation and invoice processing using Python, improving AP transaction efficiency and aligning with Oracle Cloud best practices

Developed and supported integration workflows between Oracle Cloud Finance and third-party applications using REST APIs and data validation techniques

Participated in UAT and regression testing for Oracle Finance modules, ensuring functional accuracy and compliance through detailed TE040 documentation

Enhance SAP file imports and cloud storage in Azure by 25% and implemented security protocols for SAP financial transactions.

Owned daily reconciliation of financial data across AP/GL modules, identifying mismatches and automating resolution flows using Python

Developed SQL-based reporting scripts to generate daily position and P&L snapshots aligned with operational and treasury KPIs

Integrated error validation and escalation logic into reconciliation processes, ensuring high accuracy and audit readiness

Created internal monitoring tools to detect anomalies in transactional data and trigger exception alerts for manual follow-up

Built Tableau dashboards to visualize financial risk exposure and compliance indicators for real-time operations review

Create Python-based automation for financial data reconciliation, reducing processing time by 15%, and build Tableau dashboards for real-time supply chain and finance insights.

Develop a Python-based API for SAP data exchange, improving interoperability by 40%, and implement data cleansing processes in SAP MM and SD.

Integrate Jenkins pipelines for SAP development and testing, accelerating release cycles, and streamline workflows using Agile methodologies.

Verso Solutions- Hyderabad, India 05/2021 - 12/2022

Supply Chain Analyst

Designed and optimized supply chain data models in SAP MM, improving procurement accuracy and streamlining MM-SD integration for better order fulfillment.

Automated stock movement validation and order matching in SAP MM-SD, improving trade fulfillment visibility across the procurement lifecycle

Designed SQL-based monitoring scripts to flag unusual inventory changes and integrate alerts into supply chain dashboards

Built inventory and procurement dashboards simulating real-time trade operations, reducing planning latency by 20%

Enhanced supply chain data reconciliation by implementing automated data quality checks and escalation triggers

Coordinated data validation efforts with cross-functional teams, mirroring the operational handoffs seen in financial trade support

Developed Python scripts for financial data extraction and compliance reporting in SAP FICO, enhancing reconciliation and enabling SQL-based financial reporting.

Implemented master data governance rules in SAP MDG, reducing errors by 20% and improving material/vendor data accuracy.

Automated inventory tracking and forecasting using SQL and Python, reducing excess stock, improving procurement planning, and integrating SAP with third-party analytics tools for real-time insights.

Migrated legacy supply chain data into SAP ERP using ETL pipelines, ensured smooth transitions with minimal downtime, and applied Agile methodologies to streamline feature development.

NSIC 01/2021 - 04/2021

Supply Chain Project Intern

Integrated IoT devices and embedded systems with SAP MM and PM for real-time tracking, automated decision-making, and predictive equipment maintenance, reducing defects and downtime.

Designed quality assurance policies, implemented SAP MDG solutions for accurate asset records, and conducted extensive system testing for seamless integration with SAP MM and production planning.

PROJECTS

Developed Music Genre Classification system using deep learning and Machine learning models.

Developed a program that enabled Robotic arm to plot 2D image on Vertical plan using Python.

Developed Speedometer App Using Java in Android Studio.

Developed a Hand gesture recognition system which converts hand gestures into speech signals using Arduino and Voice module.

Developed an open-source RESTful API for accessing and analyzing health-related data.

EDUCATION

Masters in computer information systems, New England College, USA 01/2023 - 05/2024

Cumulative Grade: 3.73/4.0

Bachelors in Electronics and Communication Engineering, JNTUH, India 07/2018 - 08/2022

Cumulative Grade: 3.0/4.0

CERTIFICATIONS

Certified in Python, Machine Learning through Coursera

AWS Certified Cloud Practitioner

Udemy Certifications – Advanced Database Systems

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