Priyanka Prasad Email and Phone Number

Use Case 1: Designed, developed and deployed a suite of weekly Machine Learning forecasting models at a SKU- Customer- Location level for one of the world's largest CPG companies. Data extracted from Snowflake was used to build multiple univariate and driver models in Python for 100 plus product categories across 50 plus retail channel partners. Multiple plugin modules were written deploy the models in the client's cloud-based Demand Planning platform for real time forecasting and… Show more Use Case 1: Designed, developed and deployed a suite of weekly Machine Learning forecasting models at a SKU- Customer- Location level for one of the world's largest CPG companies. Data extracted from Snowflake was used to build multiple univariate and driver models in Python for 100 plus product categories across 50 plus retail channel partners. Multiple plugin modules were written deploy the models in the client's cloud-based Demand Planning platform for real time forecasting and planning.Use Case 2: Developed a predictive model to improve customer and container profitability for a global transportation company• Identified low profitable customers by doing customer segmentation (K- Means clustering)• Built a customer targeting model to score and prioritize customers at trade lane level• Analyzed the impact of value- added services to tweak the pricing algorithm• Built a custom tool for Sales to take real time decisionsUse Case 3: Developed an algorithm to identify good and bad loads for marking and tracking company• Identified the split loads among all loads present in trailer• Analyzed the data day level, shift level, month level etc. to identify the factors that affected the end fullness of trailer• Used regression model Show less

Highlights:• Improved order volume as well as profit margin for company through continuous negotiation with suppliers• Employed various analytical models to identify potential cost saving opportunities.• Identified potential cost savings; negotiated a new rebate structure• Contributed a reduction of 13% in the cost of procurement by various initiativesUse Case 1: Predicting supplier default probability based on supplier level information.• Gathered data from… Show more Highlights:• Improved order volume as well as profit margin for company through continuous negotiation with suppliers• Employed various analytical models to identify potential cost saving opportunities.• Identified potential cost savings; negotiated a new rebate structure• Contributed a reduction of 13% in the cost of procurement by various initiativesUse Case 1: Predicting supplier default probability based on supplier level information.• Gathered data from multiple sources like financial data, product type etc.• Used classification algorithms like random forest, SVM etc.• Identified important parameter which impacts most on default.• Model helped bidding team on taking informed decision.Use Case 2: Segment the suppliers based on their capabilities for each function group• Identified the critical supplier characteristics which are relevant for supplier segmentation.• Used data preprocessing methods like missing value imputation, outlier treatment to prepare clean data.• Applied clustering algorithm (K-Means, Hierarchical clustering) to properly segment the data. Used screen plot to identify optimum no of clusters.• Profiled the clusters based on capabilities and willingness. Show less

• Assortment of store SKUs based on market share• Market Research• Recommendation of high performing products• Visiting more stores to monitor the day to day operations• Executed New Product Launches by Brands/specific promotions-exhibitions, sampling & in-store activities.• Developing excellent interpersonal and communication skills, team building, and customer relationship management.• Recruitment, training and development of workforce with ability to work in… Show more • Assortment of store SKUs based on market share• Market Research• Recommendation of high performing products• Visiting more stores to monitor the day to day operations• Executed New Product Launches by Brands/specific promotions-exhibitions, sampling & in-store activities.• Developing excellent interpersonal and communication skills, team building, and customer relationship management.• Recruitment, training and development of workforce with ability to work in multicultural environment.• Taking care of in-store branding, conducting brand building exercises with vendors. Show less

• Developed a software used for police department to track the criminal investigation records• Developed business architecture using requirements such as scope, process, risks and alternatives• Analyzed client’s business requirements and processes through document analysis and workflow analysis• Communicated client’s business requirements by constructing easy to understand data and process models