Sai Siva Vardhan Vemula
Scranton,PA
Summary
Analytical and detail-oriented professional pursuing a Master’s in Business Analytics with hands-on experience in data analysis and generative AI. Skilled in translating complex business requirements into technical solutions and collaborating across teams. Adept at SQL, Python, data visualization, and machine learning, with a strong foundation in systems analysis and end-user support. Experienced working in fast-paced environments and eager to develop deeper SAP functional expertise.
Offering strong foundation in data analysis principles and passion for problem-solving. Brings solid understanding of statistical methods and proficiency in analytical tools like Python and Excel. Ready to use and develop these skills in Systems Analyst role, contributing to data-driven decision-making and continuous improvement.
Overview
1
1
Certification
Work History
Data Analyst
Hitachi Vantara
02.2023 - 08.2023
- Collaborated with cross-functional teams to explore implementation of generative AI solutions for banking operations, including design of data pipelines and initial proof-of-concept models.
- Analyzed and validated large financial datasets using SQL and Python to identify trends, anomalies, and opportunities for automation; generated dashboards and reports for stakeholders.
- Supported data engineers in integrating structured and unstructured data sources, ensuring data quality and compliance with security guidelines.
- Presented findings and recommendations to clients using compelling data visualizations and presentations; provided ad-hoc analytics support and training to business users.
- Assisted with documentation of workflows and collaborated with stakeholders to ensure business requirements were translated into technical specifications.
- Client: Texas Capital Bank
Education
Master of Science - Business Analytics
University of Scranton
Scranton05-2026
B.Tech. - Computer Science & Technology (Data Science & Analytics)
Koneru Lakshmaiah University
India04-2023
Skills
- Languages & Programming: SQL, Python
- Data & Analytics Tools: Spreadsheets (Excel), Powerpoint, Power BI; experience with Google Data Analytics curriculum (data cleaning, analysis, visualization)
- Machine Learning: Regression, classification, clustering, generative AI; exposure to model fine-tuning
- Systems & ERP: Familiarity with SAP concepts such as user provisioning, security, testing, and configuration; understand importance of gathering business requirements, performing rigorous testing, and providing end-user training
- Soft Skills: Analytical problem solving, documentation, collaboration, training end users, communication
Certification
Google Data Analytics Professional Certificate - Completed eight-course certificate program requiring approximately 240 hours and covering data cleaning, analysis, visualization, SQL, Python, and Tableau skills. Gained immersive understanding of practices and processes used by junior data analysts and how to visualize and present data findings.
Languages
English
Full Professional
Hindi
Professional Working
Timeline
Data Analyst
Hitachi Vantara
02.2023 - 08.2023
Master of Science - Business Analytics
University of Scranton
B.Tech. - Computer Science & Technology (Data Science & Analytics)
Koneru Lakshmaiah University
Relevant Coursework
- Systems Analysis & Design: Studied lifecycle of enterprise systems and methods for gathering requirements, testing, and documentation.
- Data Mining & Predictive Analytics: Applied machine learning algorithms for classification and regression.
- Database Management: Designed relational database schemas; wrote complex SQL queries; learned principles of data security and integrity.
Achievements & Interests
- Runner-up in a cricket tournament, demonstrating teamwork and perseverance.
- Reading Books is my Hobby.
Additional Information
- Eligibility: Authorized to work in the United States; willing to relocate or travel.
- Development Goals: Eager to expand proficiency in SAP modules and system administration, including user provisioning, security updates, configuration management, and testing. Committed to continuous learning and staying up-to-date with SAP roadmap and emerging technologies.