Hari Prasath

Financial Business Systems Lead Analyst @Albertsons Companies

Phoenix, AZ, US

Implemented Cross Validation Rules Workflow using Alteryx that aided in identifying Purchase orders (POs) that do not follow respective characteristic rules, thus decreasing the time frame required to catch invalid POs by 75%.• Developed a Prophet model to forecast net sales at vendor and category level for vendor negotiations and estimations of future trends. The model achieved 15% reduction in forecasting error compared to previous methods, leading to more informed decision-making.• Employed Natural Language Processing (NLP) techniques to build Text Classifiers to extract insights from survey responses and stores google reviews, reducing the time to identify critical bottlenecks by 70%.• Developed and implemented a DBSCAN clustering model to identify customer groups with similar purchasing habits. This analysis resulted in an 84% accurate segmentation, providing valuable insights for targeted marketing and customer engagement strategies.• Developed a predictive model using Logistic Regression to anticipate out-of-stock situations based on perpetual inventory data, thereby enhancing stock tracking accuracy by 23%• Trained classification models to perform Inventory Classification of groceries and predict labels for a new set of product images using different algorithms namely Random Forest Classifier, SVM, Multinomial Naïve Bayes, XGBoost Classification and deep learning using TensorFlow.• Leveraged undersampling and oversampling SMOTE techniques to mitigate dataset imbalance, thereby achieving a 90% Quality Assurance rate.• Developed and deployed RPA bots using AutomationAnywhere, automating tasks such as Email-to-PDF conversion, Invoice Payments processing, Client-side Invoice files processing, and periodic report preparation and dissemination, hence reducing human labor hours significantly.

Arizona State University - W. P. Carey School of Business

MS Business Analytics