SAILESH KIRAN KURRA

• Utilized Tableau for comprehensive data visualization, improving accessibility to critical insights for informed decision-making
• Conducted SQL queries on SQL Server and MongoDB, optimizing baggage handling system indicators for enhanced efficiency
• Analyzed datasets to contribute to data-driven business strategies, shaping key decisions for improved operational efficiency
• Played pivotal role in testing AWS Glue data warehouse, ensuring seamless alignment with business objectives
• Assisted test team in designing test scenarios and test cases within MS Word, Excel, PowerPoint, and MS Visio environment
• Extracted, compiled, and tracked data using Excel and SQL Server, ensuring accuracy and integrity for robust reporting.

• Segmented leads into behavioral clusters using k-means algorithm, enhancing product recommendations, and increasing acquisition rate from 9% to 16%
• Devised successful go-to-market strategy for product launches in diverse geographies through A/B testing, resulting in incremental sales of $70 Million,meeting customer expectations and deliver desired outcomes based on requirement analysis
• Conducted market basket analysis for retail chain using association rule mining, leading to 12% increase in overall sales and 25% increase in targeted product sales
• Optimized SQL queries, reducing query runtime by 50% and improving database performance
• Developed interactive dashboards using Tableau to analyze and visualize patterns in customer behavior, contributing to 20% reduction in churn rate
• Utilized CRM Software, Microsoft Project, and FMEA methodologies to design schedules and budgets for team of five over four months, achieving 90% on-time project completion rate
• Led ETL project using Amazon Glue, resulting in 40% faster data processing and $40,000 in cost savings
• Optimized cloud resource allocation, reducing monthly expenses by average of 15% through efficient load balancing and instance configurations
• Automated data collection and cleaning processes using Python scripts, saving over 100 hours per year
• Spearheaded implementation of visually stunning dashboards using Tableau, driving real-time insights and agile decision-making, leading to substantial 30% increase in decision-making efficiency
• Conducted comprehensive data analysis using SQL, unearthing actionable trends and outliers that resulted in strategic recommendations for optimizing business processes
• Led strategic implementation of Tableau, transforming vast datasets into visually compelling reports that guided strategic planning and contributed to impressive 25% improvement in operational efficiencies
• Applied advanced statistical modeling techniques using SAS Enterprise Miner and SAS JMP, successfully refining segmentation, and targeting strategies with proven track record of 98% predictive accuracy
• Utilized advanced Excel functions for intricate financial modeling and analysis, significantly contributing to strategic budgeting and forecasting processes, resulting in notable 20% increase in budget accuracy
• Demonstrated expertise in diverse set of advanced statistical techniques, including Linear Regression, Logistic Regression, Decision Trees, RandomForest, KNN, and K-Means, achieving exceptional results in predictive modeling
• Applied advanced Data Mining and Business Intelligence techniques, uncovering hidden patterns and trends that led to substantial 25% increase in informed decision-making
• Identifying & Defining Relevant Use Cases: Collaborating with stakeholders to identify key marketing challenges and opportunities where data analysis can provide valuable insights.

• Engineered advanced tools using VBA for MS Excel integrated with MS Access, elevating the analysis of marketing data and revolutionizing reporting processes for enhanced decision-making
• Orchestrated the seamless importation of test data into MS Excel, empowering comprehensive analysis and unveiling insightful reporting capabilities that drove strategic business insights
• Architected dynamic databases within MS Access, providing a structured foundation to store, organize, and swiftly retrieve data, fostering efficiency in analytical workflows
• Showcased adeptness in data refinement by employing the precision of Query Editor, ensuring data integrity and amplifying the reliability of reports with meticulous cleansing techniques.

Capstone Project, Graduate Consultant (August 2023 – December 2023)

• Segregated clinics based on the probability of repeat orders for pet vaccines with an f1-score of ≈ 0.76 and designed effective upward migration strategies for the medium probable segment.
• Developed a tableau dashboard to track the performance of clinics and support business leaders.

Connecticut Income Tax Analysis | MySQL | DBeaver | Tableau –

• Recommended effective allocation of the state budget by analyzing Connecticut cities’ tax filings and various socioeconomic factors.
• Identified education and housing as crucial factors to boost tax revenue and developed a tableau dashboard.

Water Quality | JMP | Predictive Analytics –

• Devised a classification model to predict the potability of water based on its chemical composition using gradient boosting techniques and obtained an AUC ≈ 0.84.