S Cherukuri Email & Phone Number

United States

• Analyzed company financial information, conducted market research for budget planning, and forecasted profit in Excel, presenting analysis reports to senior management for decision-making.• Developed and implemented data pipelines using Azure Data Factory, resulting in a 50% reduction in processing time for data flows in and out of data storages.• Conducted efficient meetings, articulating recommendations, and solutions to stakeholders, and communicated default customer profiles along with reports using Tableau, presenting analytical results and strategic implications to senior management.• Built out data and reporting infrastructure from the ground up using Tableau and SQL to provide real-time insights into product, marketing funnels, and business KPIs.• Reduced operational costs by 19% through research into multiple information sources and successful root cause analysis of production and performance problems.• Used SQL, Tableau, and Cloudera to compile monthly 40+ page summaries of company operations, identifying key areas for improvement for senior management.• Elicited, analyzed, and interpreted business and data requirements to develop complete business solutions, including data models, ETL processes, and business rules, along with data life-cycle management, governance, data lineage, metadata, and reporting elements.• Developed 85% custom Microsoft Power BI dashboards, visualizations, and interfaces with Microsoft SSRS to deliver meaningful and actionable insights.

Bangalore Urban, Karnataka, India

• Utilized Power BI to conduct in-depth data analysis, leveraging its features to create comprehensive data models.• Developed dynamic dashboards, detailed reports, and paginated reports tailored for business users’ needs.• Leveraged SAS for advanced data manipulation and analysis, enabling deeper insights into data trends andpatterns.• Assisted in creating and executing SAS scripts for data processing and quality checks, ensuring data accuracy.• Led the process of gathering business requirements, conducting thorough analysis, and proposing effective solutionsand designs.• Worked collaboratively to ensure alignment with stakeholders and successfully implemented solutions.• Utilized Power Automate to automate the seamless export of Power BI Reports into Excel format, facilitatingeasy sharing and collaboration via SharePoint.• Employed ThoughtSpot to create customized tables with required stickers, enhancing data visualization forbusiness users.• Integrated these tables into pinboards, aligning with specific business needs for enhanced accessibility and usability.• Played a key role in the design approval process by creating wireframes and presentations.• Successfully obtained approvals for design implementations, ensuring alignment with business objectives.• Managed user roles to ensure secure and appropriate access to data and reports.• Automated refresh activities, guaranteeing that dashboards and reports remained up-to-date and reflective ofreal-time data.• Created comprehensive functional and technical documentation, providing clear insights for business users.• Developed user guides to facilitate understanding and efficient usage of created dashboards and reports.

India

• Spearheaded a data-driven property pricing optimization project in a Prop Technology company, utilizing Python, Scikit-learn, and Power BI for comprehensive analysis.• Gathered and pre-processed extensive real estate data, including property attributes, historical sales, and market trends.• Leveraged Pandas and NumPy libraries for efficient data manipulation and Scikit-learn for advanced regression modeling.• Successfully achieved a 20% reduction in Mean Absolute Error (MAE), significantly enhancing price prediction accuracy.• Created insightful and interactive data visualizations in Power BI, enabling stakeholders to make informed decisions regarding pricing strategies.• Empowered the team with actionable market insights and pricing patterns to drive strategic decision-making.• Resulted in a 15% increase in the number of successful property listings and improved overall customer satisfaction.• Demonstrated expertise in Python, Scikit-learn, and Power BI, showcasing the ability to deliver impactful solutions in the dynamic real estate domain.

Master'S Degree, Computer Science, 3.3

Bachelor'S Degree, Computer Science