Sai Suraj Suravajhala

Boston, MA ad4atk@r.postjobfree.com 857-***-**** LinkedIn Git

EDUCATION

Northeastern University, Boston, MA Exp May 2025

Master of Science in Information Systems

Courses: Application Engineering and Development, Data Management and Database Design, Web Design and User Experience, Data Science Methods, and Tools

Liverpool John Moores University, UK July 2023

Master of Business Administration in Business Analytics (Distance learning) Sastra University, Thanjavur, IN Jun 2021

Bachelors of Technology in Mechanical Engineering

SKILLS

Programming Languages: C/C++, Java, Python, SQL, PL/SQL, Shell Scripting Data Visualization Tableau, Advance Excel, Power BI, R, Power Query Tools: Jira, Confluence, ServiceNow, E2open, SAP, KLA ACE, Git, Postman Database: Microsoft SQL Server, Azure Data Studio, MongoDB, Oracle, SAP HANA Web Technologies/Frameworks: HTML5, CSS3, Sass, jQuery, React, JavaScript, Node JS EXPERIENCE

Cognizant Technology Solutions, Hyderabad, IN July 2021 - July 2023 Data Analyst

• Leveraged Apache Spark for large-scale data processing, resulting in a 40% reduction in ETL processing time and enabling faster data availability for analytics

• Utilized cloud platforms like Azure for data storage and processing, ensuring 99.9% data availability and reliability

• Automated the delivery of 1200+ BI reports/month using SAP BO and received Cognizant Go awards

• Built Tableau dashboards to visualize core business KPIs, saving 12 hours/week of manual reporting

• Led analysis of >100TB datasets in Teradata & Snowflake, enhancing query performance by 20%. Generated key insights driving 15% revenue increase post-implementation.

• Developed and implemented BI reports using Python and SQL, yielding actionable insights. Achieved 40% lower customer churn and 20% higher customer lifetime value

• Improved data preprocessing efficiency by 30% through automation and optimize while utilizing Python and the Twitter API to acquire raw data and prepare it for a data science task PROJECTS

Patient Appointment Scheduling System Microsoft SQL Server, Tableau, Node.js Sep 2023 - Oct 2023

• Crafted the Patient Appointment Scheduling System, cutting booking time by 30%, boosting appointment accuracy by 25%. Reduced patient wait times by 20% and increased satisfaction scores by 15%.

• Boosted backend and database performance by 40% with Node.js integrating CRUD operations

• Leveraged Tableau to translate complex data into actionable visualizations, driving informed decision-making. Improved project outcomes by 25% through insightful data presentation, resulting in a 20% increase in efficiency. Data Lake ETL Spark and Airflow Nov 2023 - Dec 2023

• Created a robust data pipeline that extracts data from diverse sources, applies data transformations using Apache Spark, leverages Apache Kafka for real-time data streaming, and loads the processed data into an Azure data lake

• Used Apache Airflow to schedule, orchestrate, and monitor the end-to-end ETL processes Aviation Data Analysis Azure Jan 2024 - Feb 2024

• Implemented a data ingestion pipeline in Azure Data Factory to gather streaming data from Airline APIs and batch data from Azure Blob storage, On-premises databases and stored the data in Azure Data Lake Storage

• Utilized Azure Data Factory’s capabilities like Data Flow and Data wrangling for data transformation, preprocessing to visualize the analyzed aviation data using Power BI, an Azure-native tool for interactive dashboards and reports Crisis Responsive System Java Swing, NetBeans, Microsoft SQL Server Jan 2024 – Feb 2024

• Created centralized platform Java-based emergency management System to optimize government response to critical incidents

• Optimized startup data management by integrating Microsoft SQL Server, achieving a 60% increase in application flexibility

• Developed a role-based system with super admin, admin, and user levels, along with departmental categorization for hospitals, fire services, shelters, and police. Enhanced complaint resolution efficiency by 40% and operational effectiveness by 30%.

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