Senior Data Scientist
CurrentAs a Senior Data Scientist at Performance Food Group (PFG), I optimized business strategy and drove growth through the following contributions:•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 to classify user reviews. Exploring Bert Transformer Models forpotential accuracy improvements, enhancing customer experience throughfaster identification of dissatisfied customers.•Conducted exploratory data analysis (EDA), cleaned, pre-processed, and transformed data using Python libraries, incorporating various ML and DL algorithms.•Utilized Hyper Parameter tuning, Cross validation, and Ensemble Methods to optimize model performance.•Configured and managed S3 buckets for efficient storage and retrieval of application assets & Implemented Automated CI/CD pipelines with Github Actions.•Utilized Docker for consistent and scalable application deployment across diverse environments.•Established coding best practices, organized folder structures, and ensured code maintainability for seamless collaboration within the team & Implemented robust logging and effective exception handling to enhance code reliability and facilitate troubleshooting•Implemented version control strategies, seamlessly integrating Pickle in the model lifecycle, enhancing overall deployment efficiency and scalability..