Divya G Email & Phone Number

• Analyzed large datasets to extract actionable insights, driving strategic decision-making processes.• Developed data pipelines and automated workflows, increasing efficiency and reducing manual intervention.• Collaborated with engineering teams to implement machine learning models into production environments.• Utilized recent LLMs including ChatGPT, GPT-3.5, OPT, and BLOOM, implementing RAG for enhanced data retrieval and response generation.• Developed and optimized Transformer-based models (BERT, RoBERTa, T5) for various NLP tasks, improving model performance by 25%.• Implemented conversational search and semantic search solutions, enhancing user interaction and data retrieval efficiency.• Applied reinforcement learning techniques for model fine-tuning, resulting in a 15% increase in accuracy.• Engineered prompts for diverse applications, reducing model hallucinations by 20%.• High performance and cost-effectiveness were ensured by processing massive datasets using GCP's data analytics and storage technologies, including BigQuery and Cloud Storage.

• Developed and implemented machine learning models in Python using scikit-learn, TensorFlow, and Keras.• Utilized PySpark and Hadoop for large-scale data processing and analysis.• Developed robust data governance protocols ensuring AI models adhere to ethical guidelines.• Built and optimized LLMs to analyze financial data, identify cost-saving opportunities, and optimize resource allocation.• Performed data analysis, natural language processing, statistical analysis, generated reports, listings and graphs.• Big data analytics with Hadoop, HiveQL, SparkRDD, and SparkSQL.• Implemented data pipelines on AWS using services like S3, Glue, and Lambda for efficient data ingestion and transformation.• Utilized advanced methods of big data analytics, machine learning, artificial intelligence, wave equation modeling, and statistical analysis.

• Leveraged Azure services for cloud-based machine learning solutions.• Managed databases using Oracle and optimized queries with PL/SQL for efficient data retrieval.• Developed data pipelines with Hive and ETL tools like Informatica for data integration.• Executed SQL queries to extract, transform, and load data for analysis and reporting.• Data extraction from various sources, Transformation and Loading into the target SQL Server Database. Implemented Copy activity, Custom Azure Data Factory Pipeline Activities for On-cloud ETL processing. • Worked on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and controlling and granting database access and Migrating On premise databases to Azure Data Lake store using Azure Data factory. • Automated the Power BI reports, dashboards and Azure Data Factory (ADF) pipelines when source data updated.

• Developed and maintained Informatica workflows to automate data processing tasks.• Leveraged SSMS and SSAS to perform complex data analysis and create multidimensional models for advanced analytics.• Configured AWS Redshift for data warehousing, optimizing queries for efficient analytics.• Utilized Spark SQL and Apache Flink for real-time data processing, enabling timely insights for business stakeholders.• Leveraged U-SQL and Apache Hive to optimize and automate ETL processes, enhancing data quality.• Developed interactive visualizations in Tableau to present key findings and trends