Prashanth Thallapelli Email & Phone Number

United Kingdom

United Kingdom

🚀 Key Achievements:* Enhanced Score Intelligence Product: Improved accuracy and execution time with advanced ML models.* Migration from R to Python: Led the migration, reducing latency and boosting efficiency.* Streamlined Development: Introduced pre-commit code inspections for higher quality.* Monitoring Platform: Developed a Tableau tool for proactive traffic alerts.* Vendor Collaboration: Integrated valuable external data to enhance model performance.🔍 Technical… Show more 🚀 Key Achievements:* Enhanced Score Intelligence Product: Improved accuracy and execution time with advanced ML models.* Migration from R to Python: Led the migration, reducing latency and boosting efficiency.* Streamlined Development: Introduced pre-commit code inspections for higher quality.* Monitoring Platform: Developed a Tableau tool for proactive traffic alerts.* Vendor Collaboration: Integrated valuable external data to enhance model performance.🔍 Technical Contributions:* Azure PaaS Solutions: Designed and built data solutions using Azure PaaS for visualization.* Data Pipelines: Implemented pipelines with Azure Data Factory, Databricks, Data Lake Store, and Analysis Services.* Spark Applications: Developed Spark apps in Databricks for data transformation and aggregation.* ADF Pipelines: Created pipelines to extract, transform, and load data from Azure SQL and Blob storage.* Spark Architecture: Proficient in Spark Core, Spark SQL, and DataFrames.* Data Systems: Developed data warehouses, lakes, and ETL systems with SQL and NoSQL.* Databricks Jobs: Executed Spark jobs with PySpark and Scala, analyzing large datasets.* Optimized ETL: Improved ETL processes using ADF, Databricks, and custom scripts.* Azure SQL Solutions: Designed and implemented solutions in Azure SQL Data Warehouse.* ELK Integration: Integrated data from Azure to ELK, creating Kibana dashboards.* Azure Expertise: Experienced with ADF, ADLS, Databricks, and Analysis Services.* Docker Implementation: Created Docker containers and trained the team, saving setup time.* Documentation: Documented processes with ER diagrams and data dictionaries in Confluence.* CI/CD Skills: Developed skills with Jenkins, GitLab, and Azure DevOps.* Git Management: Managed Git branches, ensuring smooth version control.* Project Leadership: Led a project identifying potential clients, aiding sales and earning management praise. Show less

Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL. Design and implement migration strategies for traditional systems on Azure using Lift and shift, Azure Migrate etc.Design setup maintain Administrator to Azure SQL Database, Azure Analysis Services, Azure SQL Data Warehouse, Azure DataFactory.Engage with business users to gather requirements, design visualizations and provide training to use self-service BI tools. Responsile for estimating the… Show more Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL. Design and implement migration strategies for traditional systems on Azure using Lift and shift, Azure Migrate etc.Design setup maintain Administrator to Azure SQL Database, Azure Analysis Services, Azure SQL Data Warehouse, Azure DataFactory.Engage with business users to gather requirements, design visualizations and provide training to use self-service BI tools. Responsile for estimating the cluster size, monitoring and troubleshooting of the spark databrics cluster.Developed json scripts for deploying the pipeline in Azure DataFactory (ADF) that process the data using the sql activity.Strong Experience in various Azure services like VM, ADF, ADLS, Azure Databrics, Azure Data Lake Analytics, Stream Analytics, Azure HDInsight Cluster, NoSQL DB and Azure Analysis Services etc.Improved the accuracy and TPR of our key product Score Intelligence using various machine learning models which improved the execution time for our stakeholders.Identify the user patterns and provided recommendations to our existing customers.Find the fraud patterns using clustering techniques like KMeans Clustering.Introduced few standardization techniques like pre-commit stages to inspect the snapshot that’s about to be committed; helps a lot to understand the functions at ease.Provided various solutions based on strong domain knowledge and technical expertise. Show less

Postgraduate Degree, Masters Of Data Science And Analytics

Bachelor Of Technology - Btech, Computer Science