Sindhu H Email and Phone Number

1. Project 1 harnessed Natural Language Processing to analyze product metadata, aiming for precise recommendations tailored to individual tastes.2. Project 2 employed image recognition and product categorization algorithms to identify visually similar products, enhancing user experience.3. Fine-tuned a pre-trained LLM and constructed product similarity matrices for personalized content-based recommendations.4. Implemented recommendation personalization through association rule mining and custom ETL using AWS Glue and PySpark.5. Leveraged AWS SageMaker, S3, Redshift, and ElasticDB for efficient model training, storage, and retrieval.6. Created automation pipelines on Kubeflow and productionized code with Fast API for backend integration.7. Employed Docker and Kubernetes for scalable ML pipeline management and collaborated with cross-functional teams for integration.8. Designed A/B testing methodologies, resulting in significant improvements in click- through and conversion rates.9. Built image-based recommendation models using deep learning techniques like Inception Net and ResNet50, integrated with backend using Fast API.10. Conducted AB testing, yielding substantial increases in click-through and conversion rates, and collaborated on agricultural field segmentation from satellite images.

1. Gathered information from business analysts, SMEs, and business teams to propose migration solutions and ensure data integrity.2. Processed, cleaned, and visualized data using Tableau, maintained database diagrams, and developed BI solutions using SQL Server and Excel.3. Provided 24/7 production support for Tableau users, designed and developedTableau visualizations, and prepared dashboards and ad-hoc reports.4. Conducted data/systems analysis to determine BI solutions, developed SQL queries, set up GCP Firewall rules, and provided production support for Tableau users.5. Detectedcriticalflawinoperationalsalespredictionworkflow.Despitebeingnew to the team, independently delved into the code base and resolved the issue.6. OptimizedtheETLscriptusingPyspark.Reducedexecutiontimefrom3hourto25 minutes7. CreatedandmaintainedtheworkflowsonAzkabantoextractfeatures,trainmodel and generate predictions8. Testedlatestintegrationsanddeployedthemodel.Generatedandvalidated predictions from model weekly

1. EnhancedTicketProcessingSystem,improvingfront-enduserexperienceand back-end efficiency.2. Enabledefficienttickettrackingandprocessingforairlinestaff.3. EngagedinprojectssupportingcrewapplicationsandFlightOperationSystem(FOS).4. Conducteddatavalidation,integrationchecks,andanomalyreporting.5. Designed,developed,andtestedTableaufunctionalreports.6. ProducedBIreportsandinsightsusingTableauandPowerBIforHRdecision-making.7. Provided24/7productionsupportandadministeredTableautools.8. Createddiversevisualizationsincludingscatterplots,boxplots,andheatmaps.9. UtilizedTableaufeatureslikecalculatedfields,parameters,anddashboardactions.10. Developed executive dashboards with high performance.11. Implemented advanced visualization techniques, converting WEBI and Xcelsiusdashboards to Tableau.12. Proficient in MS Access, Excel, Power Pivot, VLOOKUP functions.13. Developed custom SQL and stored procedures for data loading.14. Conducted feature testing and functional defect resolution using JIRA.

1. Developed/enhanced a Mobile Application (Android & IOS Platform) for McDonald’s, featuring exclusive offers, menu browsing, nutrition information, restaurant location finding, easy ordering, navigation, and search functionality.2. Utilized agile software development methodology to manage and control software and product development.3. Extracted data using SSIS from various sources like DB2, XML, Oracle, and flat files,performed transformations, and populated the data warehouse.4. Expertise in writing Complex SQL/PLSQL Scripts for querying Teradata and Oracledatabases.5. Automated report generation processes using macros to develop monthly KPIreports, reducing report generation time.6. Utilized advanced Excel functions like V-Lookup, Pivot Table, H-Lookup, IF, COUNT,etc., to analyze data and create charts and graphs.7. Defined data mapping and metadata information associated with customer data,performed data profiling, analysis, and applied various data cleansing rules.8. Demonstrated proficiency in Business Intelligence (COGNOS) and data visualizationtools like Excel.9. Used SQL, Toad, Data Warehousing, and Data Cleansing for customer data management, ran ad-hoc queries, prepared reports, and validated T-SQL scripts andStored Procedures.10. Conducted data analysis for testing, including supporting ETL systems interactingwith OLTP & Data Warehouse Systems.11. Actively involved in data modeling, mapping, development, integration, analysis,and coordination with testing teams for defects.12. Logged defects, monitored their status, and tracked them using JIRA. Analyzed andinterpreted technical information to compose User Manuals.13. Played a crucial role in ensuring data availability in testing environments andidentifying data requirements for various site teams.