User details
RC
RC
Ravikumar Chennupati
@ravikumar_chennupati_06jkv0o16
Data Scientist
Dallas, TX, United States
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Member since: Jan 21, 2025• Experienced Data Analyst with 5+ years in transforming complex data into actionable insights for strategic business decisions. . Proficient in advanced analytics tools including Python, SQL, and SAS, delivering high-quality data solutions.
• Expertise in data modeling, ETL processes, and data visualization using Tableau and Power BI.
• Skilled in data governance and security protocols with a focus on accuracy and efficiency.
• Proven ability to collaborate with cross-functional teams to streamline operations and enhance data-driven decision-making.
• Excellent communicator, adept at presenting complex data findings clearly and concisely. . Certified in Cloud and Agile methodologies, with practical experience in cloud-based data warehousing solutions such as Snowflake and Teradata.
• Track record of successful project management, overseeing data initiatives from conception to implementation, ensuring timely and within-budget delivery.
• Strong problem-solving skills, with a history of identifying and resolving data inconsistencies and inefficiencies to improve overall data quality and data integrity. . Passionate about continuous learning and staying updated with industry trends to apply best practices in all data projects.
• Exceptional team player with strong independent working capability, complemented by excellent analytical skills.
. Experience in designing ETL data flows using SQL Server Integration Services (SSIS), achieving a 20% increase in data extraction and transformation efficiency from MS Access/Excel Sheets to SQL Server.
• Developed and maintained Tableau dashboards to visualize key performance indicators (KPIs), resulting in a 35% enhancement in data-driven decision-making for cross-functional teams. . Developed and automated complex data analysis scripts to streamline financial data processing.
• Designed and implemented comprehensive data models to support business intelligence and analytics initiatives, resulting in improved data accuracy and a 30% increase in reporting efficiency.
• Utilized SAS for advanced data analysis and statistical modeling, leading to insights that increased efficiency by 25%.
• Developed and maintained shell scripts to automate routine system administration tasks, reducing manual workload and improving efficiency by 35%. . Created Power BI reports to track KPI's and operational metrics, facilitating data-driven management decisions.
• Developed custom R programming scripts to automate data analysis tasks. . Created complex financial models using advanced Excel functions and macros to support investment decisions.
• Implemented and managed Snowflake data warehouse solutions to optimize data storage, processing, and analytics, leading to a 40% improvement in query performance and scalability.
• Implemented advanced queries, macros, and VBA scripts in MS Access to automate tasks and enhance database functionality, reducing manual data processing time by 40%.
• Developed and maintained Python scripts for data extraction, transformation, and loading (ETL) processes, resulting in a 30% improvement in data processing efficiency and ensuring accurate and timely data availability for analysis.
• Developed and managed data integration and transformation processes using Azure Data Factory, enhancing data pipeline efficiency and enabling seamless data flow between cloud and
on-premises systems.
• Created and managed complex reports using SSRS, providing detailed insights into financial data, performance metrics, and operational trends for executive leadership.
• Leveraged Alteryx to prepare and blend data from multiple sources, streamlining the process of data integration and ensuring high-quality datasets for analysis.
• Conducted comprehensive data analysis using SAS, including regression analysis, time series, forecasting, and hypothesis testing, to support data-driven decision-making.
• Extracted data for reporting from diverse sources including SQL Server, SQL Server Analysis Services (SSAS), Azure SQL Database, and Azure SQL Data Warehouse.
• Utilized SSRS to implement advanced report features such as drill-down capabilities, parameterized reports, and interactive sorting, allowing end-users to explore data more effectively. .
Responsibilities:
• Developed a customer churn prediction model using Python, achieving an 84% accuracy rate with logistic regression, SVM, Decision Trees, and Naive Bayes algorithms.
• Conducted advanced statistical analysis and data mining using SAS to identify healthcare trends.
◦ Developed interactive Tableau dashboards to visualize complex data and provide actionable insights.
◦ Implemented and maintained Teradata data warehouses, ensuring high availability, data integrity, and performance tuning, which enhanced the overall effectiveness of business intelligence operations.
◦ Developed ETL pipelines and data integration processes in Snowflake, ensuring seamless data flow and real-time analytics capabilities for enhanced decision-making.
• Developed automated workflows in Alteryx to perform complex data transformations and analytics tasks, significantly reducing manual effort and increasing efficiency.
• Wrote and optimized T-SQL scripts for data analysis and reporting, ensuring accurate and timely insights.
◦ Managed, updated, and manipulated report structures using advanced Excel functions such as Pivot Tables and V-Lookups. . Utilized DAX functions to create measures and calculated fields for visualization and used Power Query to transform data.
• Conducted detailed data modeling sessions with stakeholders to capture business requirements and translate them into logical and physical data models, ensuring alignment with organizational goals. . Created Python scripts for file validation in Databricks, automating the process using Azure Data Factory (ADF).
• Created shell scripts for data backup, log management, monitoring, ensuring stability and security of critical IT infrastructure.
• implement custom data manipulation routines to prepare data for analysis, such as filtering, aggregation, and sorting, while optimizing memory usage and processing time.
◦ Designed intuitive forms and reports in MS Access to streamline data entry and analysis, enhancing data accuracy and supporting better decision-making.
• Deployed and managed AWS data warehousing solutions to handle large healthcare data, ensuring with HIPAA regulations. . Connected SSRS with various data sources including SQL Server, Excel, and external databases, ensuring comprehensive data coverage and accuracy in reporting.
◦ Conducted statistical analysis and predictive modeling using R, delivering actionable insights for business strategies.
◦ Designed and maintained dynamic Power BI dashboards within Microsoft Fabric, delivering interactive visualizations that supported data-driven decision-making for stakeholders.
◦ Developed interactive Tableau dashboards to visualize patient data, improving decision-making for healthcare professionals.
• Created and maintained SAS macros for repetitive tasks, ensuring consistency and accuracy in data analysis and reporting.
. Proficient in Python, Microsoft Excel, with expertise in SQL for crafting queries to enhance data extraction efficiency by 15%.
• Developed workbooks by importing data and establishing relationships using Excel, Oracle, and MySQL, provided data cleaning, sorting, and gathering recommendations, boosting project team productivity by 20%.
• Executed ETL operations in Azure Databricks, connecting to various relational database systems via JDBC connectors.
• Transformed batch data from extensive datasets in SQL Server, MySQL, PostgreSQL into data frames using PySpark.
• Created and executed SQL scripts for database modifications, including table updates, index additions, view creations, and stored procedure implementations.
• Optimized data retrieval and processing using Teradata's parallel processing capabilities, improving performance and reducing query execution times.
• Utilized Alteryx's advanced analytics and predictive modeling tools to generate actionable insights, driving data-driven decision-making and enhancing business outcomes.
• Developed complex SQL queries and scripts to extract and transform data in Snowflake.
• Utilized tools such as ER/Studio and SQL Developer to create, maintain, and optimize relational and dimensional data models, enhancing database performance and scalability.\
• Optimized and debugged existing shell scripts to enhance performance and reliability, leading to a 20% decrease in system downtime and operational issues.
• Generated reports and visualizations with SAS to communicate key findings to stakeholders, facilitating strategic decisions.
• Optimized SSRS reports for performance by indexing databases and fine-tuning queries, resulting in faster report generation and improved user experience.
• Managed ETL Informatica mappings and processes within data warehouse environments.
• Designed and implemented analytical dashboards in Power BI, facilitating rapid data insights for business users. . Applied DAX functions to create measures and calculated fields for visualization, utilized Power Query for data transformation.
• Developed and maintained MS Access databases to streamline data management processes, resulting in a 25% improvement in data retrieval and reporting efficiency.
• Collaborated with cross-functional teams to integrate SAS analytics into business processes, enhancing the overall effectiveness of data management and analysis efforts.
• Developed an automated data ingestion process in Azure Cloud to daily load data from web services into Azure Data Lake
• Employed Delta caching in Databricks and PySpark for accelerated data processing.
• Utilized tools such as Power BI, Tableau dashboards for data exploration and visualization, enhancing analysis efficiency by 20%.