Hire Godwin T. - Generative AI Architect

* As a Senior Data Scientist at Performance Food Group (PFG), I optimized business strategy and drove growth through the following contributions: * Designed and implemented an AI-powered Food Safety & Compliance Assistant using a * robust Retrieval-Augmented Generation ( RAG ) architecture orchestrated with * LangChain, powered by Claude Sonnet via Amazon Bedrock, and integrated with * Pinecone for scalable vector search. Evaluated rigorously using RAGAS, ensuring high * contextual accuracy and regulatory relevance in responses. * Demonstrated expertise in advanced prompt engineering techniques — including * temperature tuning, top-p, top-k sampling, few-shot learning, and Chain-of-Thought * prompting — to optimize LLM performance. Bring applied understanding of Supervised * Fine-Tuning (SFT) for task adaptation and foundational knowledge of Generative * Adversarial Networks (GANs) for synthetic data generation and creative AI use cases. * Developed Daily Genie, a multi-agent assistant app PoC using the Agno agent framework, * applying Agentic AI principles. It features live web content extraction * GoogleSearchTools), web scraping (BrowserbaseTools), and task management * TodoistTools), powered by Groq’s LLaMA3-70B for fast, scalable inference * Built a Customer Churn prediction Classification Model, reducing churn rates and enhancing customer loyalty by taking proactive measures. * Built a Regression Model for inventory planning, predicting the number of items required for efficient stock management. * Built a Customer and Product Segmentation Models to tailor marketing strategies, enabling personalized offerings for specific customer segments. * Built NLP pipeline for sentiment analysis using VADER, Bert Models * Configured and managed S3 buckets for efficient storage and retrieval of application assets & Implemented Automated CI/CD pipelines with Github Actions.

As the Power BI Data Analytics, my primary objective was to create interactive dashboards in Power BI that provided real-time insights into inventory, sales, and procurement data. key responsibilities: - Connecting to diverse data sources, including Netezza, Snowflake, Excel, and others, and efficiently importing data into Power BI using the Power Query Editor. - Conducting comprehensive data cleaning and transformation using Power Query Editor to establish star schemas and multi-fact star schemas, along with implementing active and inactive relationships. - Leveraging my expertise in Power BI to craft a wide range of impactful visualizations, including pie charts, bar charts, tree maps, circle views, line charts, area charts, scatter plots, donut charts, tree maps, and custom visuals. - Deploying the on-premises data gateway to establish secure and seamless connections between Power BI and various data sources, ensuring the accuracy and timeliness of data transfers. - Configuring automatic dataset refreshes through the on-premises data gateway to maintain up-to-date and consistent data for ongoing analysis and reporting. - Utilizing the tabular editor to streamline complex data models and calculation groups, optimizing report performance, and reducing maintenance overhead. - Leveraging the capabilities of Power BI Service to publish and share reports with business users, while implementing robust access control and permission management protocols. - Employing performance tuning strategies, including the creation of summary tables, to efficiently handle large datasets, resulting in a significant reduction in data volume from 84 lakhs to 4 lakhs records. In my role as the Power BI Data Analytics Lead, I played a crucial role in empowering PFG with actionable insights derived from interactive dashboards. These insights enabled the organization to make informed decisions, streamline operations, and enhance overall performance.