Machine Learning Data Analytics

SUVARNA RATHNA KUMARI KOTHA

+1-940-***-**** **************@*****.*** Denton, TX linkedin.com/in/suvarna-kotha PROFESSIONAL SUMMARY

Detail-oriented SAP Functional Consultant with over 2 years of experience optimizing ERP solutions and enhancing Order-to-Cash processes for major clients like Coca-Cola. Proficient in data analytics and machine learning, I've successfully developed predictive models that improved healthcare decision-making accuracy by 20%. My efforts in creating documentation and process improvements have led to a 25% reduction in recurring incidents, significantly boosting system stability and user satisfaction. EDUCATION

University of North Texas August 2023 - May 2025

Master's, Business Analytics GPA: 3.63

Malla Reddy College of Engineering and Technology August 2017 - August 2021 Bachelor's, Electrical Engineering

CERTIFICATIONS

SAP Certified - Sales and Distribution

Microsoft Certified Azure Fundamentals Certification Certification in Data Science and Analytics using R PROFESSIONAL EXPERIENCE

DXC Technology Hyderbad Bet, PB, India

SAP Functional Consultant (SD/MM) June 2021 - July 2023

• Designed and developed a Heart Disease Prediction System leveraging data analytics and machine learning techniques, achieving an 85% prediction accuracy in forecasting individuals' susceptibility to heart disease, providing actionable insights for healthcare decision-making.

• Gathered & translated business requirements for end-to-end Customer-to-Cash (C2C) processes pricing, credit, ATP, shipping, billing, and revenue recognition by partnering with sales, logistics, and Finance teams; produced functional specs and impact-analysis options adopted for global template rollouts.

• Configured & supported SD core objects (sales docs, pricing procedures, outputs, copy controls) and cross-module touchpoints in ECC 6.0; evaluated S/4 HANA migration impacts and piloted sandbox configuration, ensuring compatibility with new table structures

• Defined and led unit, integration, regression, and UAT testing strategies using Solution Manager & HP ALM, go-lives achieved zero critical defects and minor defects.

• Produced high-quality deliverables process-flow diagrams, RICEF functional designs, SOPs, and training decks creating a knowledge base that cut new-hire ramp-up time by 30 %.

• Proactively monitored OTC KPIs and background jobs, isolating root causes of billing blocks, tax discrepancies, and EDI errors; implemented corrective config & ABAP user-exits that lowered recurring incidents by 25 %.

• Delivered 24 7 production support for business-critical order processing under tight SLAs; triaged P1 tickets, communicated risks/opportunities to leadership, and coordinated rapid fixes with Basis/ABAP teams.

• Championed continuous-improvement workshops, introducing three automation enhancements (mass credit-memo creation, EDI error dashboard, freight-cost reconciliation) that save analyst hours annually.

• Mentored two junior analysts on C2C best practices, S/4 HANA data-model changes, and effective client communication, fostering a collaborative, service-oriented culture. Knowledge Solutions, Microsoft APE Hyderbad Bet, PB, India Analyst Intern May 2020 - August 2020

• Designed and developed a Heart Disease Prediction System leveraging data analytics and machine learning techniques, achieving an 85% prediction accuracy in forecasting individuals' susceptibility to heart disease, providing actionable insights for healthcare decision-making.

• Utilized Python libraries, including NumPy and Pandas, to analyze datasets of over 1,000 patient records and create visualizations such as histograms, bar plots, and swarm plots, improving data interpretation and enhancing healthcare data analysis efficiency by 15%.

• Applied machine learning techniques, training models on 80% of data and validating on 20% to predict heart disease likelihood, demonstrating proficiency in predictive modeling and improving decision-making accuracy by 20% PROJECTS & OUTSIDE EXPERIENCE

Supply Chain KPI Dashboard Project, University of North Texas Denton, TX, USA September 2024 - December 2024

• Partnered with business stakeholders to define and capture requirements for supply chain analytics, mapping business processes and translating them into actionable Power BI dashboards.

• Led the implementation of process changes and dashboard rollouts, coordinating user acceptance testing and incorporating feedback to optimize solution effectiveness.

• Communicated project progress, findings, and recommendations to leadership and cross-functional teams, ensuring alignment and supporting informed decision-making.

• Applied advanced analytics and data visualization to identify operational bottlenecks, enabling business process optimization and continuous improvement SKILLS

ERP & Business Systems: SAP SD, SAP MM

Data Processing & Querying: SQL, Snowflake, Power Query, Power Pivot, Excel Macros Data Visualization & BI Tools: QlikView, Tableau, Advanced Excel Programming & Analytics: Python, R Studio

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