Data Analyst Engineer
Resume:
Sravani Edururi
Mckinney, Texas, USA *****
www.linkedin.com/in/sravani-edururi-665337349
**************@*****.***
LEADERSHIP, CAMPUS & COMMUNITY INVOLVEMENT
• Volunteer, UNT Carter Blood Care Sep 2023 - Present Donated Blood for the carter blood care at UNT
• Member, Leo club 2017 –2019
Leo club is an NGO With around 2000 students and the faculty of Vellore institute of technology Voluntarily organize awareness drives on different social issues, solar power in rural areas, under the local Leo trust. PROFESSIONAL PROFILE
Results-driven Data Analyst / Data Engineer with over 4+ years of experience in the retail sector, specializing in Data Warehousing, ETL development, and data pipeline optimization. Proven track record of delivering actionable insights through complex data models and large-scale datasets using SQL, Python, and Informatica. Skilled in supporting and enhancing .NET-based applications by validating backend data integration and ensuring seamless functionality. Experienced in working within Agile environments, leveraging JIRA for task management, sprint planning, and defect tracking. Proficient in big data technologies including Hadoop, Hive, and Spark, with hands-on expertise in AWS cloud services such as Redshift, S3, AWS Glue, and Lambda. Strong ability to optimize SQL queries and workflows to enhance system performance and data reliability. CORE COMPETENCIES
Decision Making Statistical Analysis Modeling Data Quality Assurance Data Mining Exploration Root Cause Analysis Communication
teamwork client engagement influencing Leadership Predictive Analytics Data Profiling Validation Data Collection Reporting. TECHNICAL SKILLS
PLSQL MySQL Data Warehouse Spark Hive Designing Scala Jira .net Hadoop AWS MS Excel Python Java Tableau Power BI EDUCATION
Master’s in business Analytics, University of North Texas, Denton. GPA: 3.3/4.0 Aug 2022 – May 2023 HONORS & AWARDS
• Awarded as the best Red Cross Volunteer of the Year Award across India, March 2017.
• Honored as a COVID warrior as a frontline worker during the COVID-19 pandemic 2021. EXPERIENCE
Bath&Body, Columbus, OH Sep 2024 – Current
ETL DEVELOPER AND DATA ANALYST
• Collaborated with cross-functional teams to analyze and interpret large datasets, generating actionable insights to support business decisions.
• Worked closely with development teams to support and validate .net based internal applications, ensuring accurate data integration and reporting.
• Utilized SQL and Excel to perform data extraction, transformation, and validation for financial reporting and operational analysis.
• Created and managed user stories, tasks, and defect tracking using JIRA, actively participating in Agile ceremonies including daily stand-ups and sprint planning.
• Coordinated with QA to develop and execute test cases, ensuring data quality and functionality in both backend processes and .NET services.
• Identified and resolved data discrepancies during system migrations, improving data accuracy and reducing manual reconciliation by 40%.
• Documented data processes, business rules, and technical specifications to support knowledge sharing and compliance.
• Executed data pipelines using Python and SQL to automate data extraction, transformation, and loading (ETL) processes, reducing data management time by 30%.
• Conducted exploratory data analysis (EDA) to identify trends and actionable insights, enhancing risk management and fraud detection efforts.
• Enhanced customer segmentation strategies using clustering techniques (K-means), resulting in a 20%increase in targeted marketing campaign efficiency.
LIFECELL INTERNATIONAL PVT LTD, Chennai, India. Jun 18 – July 22 DATA ANALYST
• Created interactive dashboards and visualizations using Tableau to present key metrics and model insights to stakeholders, enhancing strategic initiatives across departments.
• Led the development and deployment of predictive models to enhance risk management and forecasting accuracy using Python and scikit-learn.
• Designed advanced machine learning algorithms for credit risk assessment, improving model performance and reducing default prediction error rates by 15%.
• Analyzed over 1 million customer records related to cord blood banking, extracting insights that boosted customer acquisition by 15%.
• Performed initial analysis on more than 500,000 data points, identifying patterns that enhanced understanding of customer behavior and reduced churn by 10%.
• Applied statistical methods to calculate KPIs (CAC, retention, conversion), increasing conversion rates by 12% over six months.
• Launched and maintained dashboards for real-time insights into customer behavior and operations, driving a 20% improvement in efficiency.
• Explored and visualized large datasets to uncover key trends, increasing business insights and operational effectiveness using Pandas and Tableau.
• Engineered forecasting models to analyze customer data, boosting customer retention by 15% through targeted marketing strategies using Python, Scikit-learn, and SQL.
• Streamlined data pipelines for processing genomic data, reducing processing time with Spark, PySpark, and AWS S3.
• Employed machine learning algorithms to forecast product demand, optimizing inventory management and decreasing stockouts by 25% using Python, TensorFlow, and AWS SageMaker.
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