Available to hire
Hi, I’m Sai Srujan Vanama. I am a results-driven Senior Data Analyst with 5 years of experience in Business Intelligence, data visualization, and statistical analysis. I transform complex data into strategic insights by building automated workflows and developing interactive dashboards that drive operational efficiency and growth.
I thrive in cross-functional collaboration, turning data into actionable recommendations. I enjoy leveraging SQL, Python, R, and cloud platforms to deliver measurable impact and enable data-informed decision making.
Skills
Language
English
Fluent
Work Experience
Senior Data Analyst at VIAVI Solutions
September 1, 2024 - November 8, 2025Implemented ETL pipelines and data warehousing solutions with Snowflake, Redshift, and AWS S3, enhancing data retrieval speed across large-scale datasets and preparing subsets for Google Cloud BigQuery analysis to improve cross-team efficiency. Automated recurring data analysis tasks using Python and SQL, saving ~20 hours weekly and reducing manual errors by ~40%. Conducted statistical analysis and forecasting of telecommunications trends using R and advanced Excel, delivering executive-ready reports that improved revenue projection accuracy by ~12%. Streamlined cross-functional project deliverables using Trello and Slack, maintaining a 95% on-time project completion rate. Engineered scalable data processing workflows in Databricks to enable cross-functional teams to analyze massive datasets and expedite insights. Designed and maintained interactive dashboards in Tableau and Power BI for real-time KPI monitoring, reducing reporting time by ~30%. Developed and optimized SQL queries and
Data Analyst at SoftoBiz Technologies (E-commerce)
August 1, 2023 - August 1, 2023Built dynamic visualizations in Looker and Google Data Studio to present user engagement metrics for over 1 million monthly users, incorporating advanced Seaborn plots for trend analysis. Analyzed customer transaction data using MySQL and PostgreSQL, visualizing insights with Matplotlib to identify purchasing patterns that increased campaign conversion rates by 10%. Developed automated workflows in Alteryx and VBA to clean and prepare e-commerce datasets, improving reporting efficiency by 35% and reducing manual errors. Investigated anomalies in order fulfillment data, reducing operational discrepancies by 15% and improving customer satisfaction, while leveraging Databricks for large-scale dataset handling. Used Airflow to schedule ETL processes for product catalog updates, ensuring 99.8% accuracy in real-time inventory tracking and processing data for Google Cloud BigQuery analytics.
Business Analyst at PwC
January 1, 2023 - January 1, 2023Developed MongoDB and PostgreSQL queries to consolidate disparate financial data sources, enhancing data accessibility for audit and advisory teams, and prepared supplementary datasets for Google Cloud BigQuery for senior management. Conducted data modeling and statistical analysis in Excel and R to support financial audits, improving accuracy in risk assessment reports by 20%, with visualizations using Matplotlib. Applied advanced forecasting techniques to evaluate market trends, improving financial planning accuracy by 18%, while generating Seaborn charts for stakeholder presentations. Leveraged Azure Data Services to centralize financial datasets, facilitating cross-departmental access and improving reporting efficiency, while running supplementary analyses in Google Cloud BigQuery. Delivered presentations and reports to senior leadership using Power BI and Google Workspace, incorporating Seaborn visualizations to translate complex datasets into strategic insights. Coordinated with
Education
Master's in Information Technology and Management at Illinois Institute of Technology
January 11, 2030 - November 8, 2025Bachelor of Technology in Computer Science at Gitam University
January 11, 2030 - November 8, 2025Qualifications
Industry Experience
Telecommunications, Software & Internet, Financial Services
Skills
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