Vithal Nistala

Client: UPS. Reduce the total transportation costs in supply chain that include inbound shipments (from the plants to the DCs) and outbound shipments (from the DCs to the stores). Forecast the Order demand using Time Series Analysis and performed the visualizations. Predict the defective piece percentage in delivery from the supplier. If the defective piece percentage predicted is below the threshold level, then a quality check will not be performed. Creating Data Pipeline using Cloud function in Google Cloud Platform (GCP). Created Cloud functions using python to pull the data from Blackline url. Creating Stored Procedures, Cloud schedules, External tables, views, Data studio visualizations in Google Cloud Platfrom.

Client: Macys. Sales forecast and Data driven analysis for holiday season in the Stores. Prediction the customer segmentation, customer lifetime value, customer churn. Automate the process of data analysis using Python. Creating Stored Procedures, Cloud schedules, External tables, views, Data studio visualizations in Google Cloud Platfrom. Minimized the daily repeated task by creating automation task using Python. Created Dashboard using data visualization tools like Tableau and power bi.

Client: TNB. Identified the different reasons for the power outage system and predict the demand loss to improve the decision making. Created the dashboards using Cognos Analytic.

Client: Superfood pte ltd. Created Multidimensional reports in Cognos Analytics. Created the forecasting cubes in Cognos TM1.

Client: Ventana Medicals. Created Dashboard using data visualization tools like Tableau and power bi.

Client: Nokia. Worked as a Cognos architect. Created the FM model. Created detailed reports in Cognos. Installation of Cognos and Cognos admin activities like scheduling, deployment etc. Scheduling of reports. Performance tuning of reports. Worked in Oracle, created stored procedures.

Client: Croda Healthcare. Created drill through reports and associated with the summary reports to get details. Validated report results with the source data and sanctioned the reports to production environment. Monitored and optimized the performance of reports.