• Building preventive models to "Identify component breakdown in Volvo trucks with gold contracts, not necessarily early but in time to avoid actual breakdown". Business objective is to decrease the number of Volvo Action Service (VAS) cases by 10% & Ensure an elevated level of trust from our customers.
• Checking issues in Volvo vehicle engines from ECUs (Electronic Control Units) and predicting which vehicle should come for maintenance using Logged data received from running vehicles. (Data contains measures from sensors (ex: mileage, time, temperature etc.) Used Classification technique: Kernel SVM. Application also sends alerts on customer’s mobile number to avoid any accidents as part of security.
• Predicting which countries have more orders in Europe region, how to reduce order cancellation in other countries. Used exploratory data Analysis (EDA) to find the features impacting the target variable & Demand forecasting of orders for Europe region.
• Currently involved in migrating the Models to Azure Data lake as part of “Lake Superior Project”, We are in process of moving our models to Azure Data Science Virtual Machine (DSVM).

Description: The project involves preparation of an Infrastructure Dashboard that handles the various infrastructure related costs incurred by American Express categorized into server details and utilization, License Management and CPU Utilization. The data was provided in the form of csv (comma separated value). This data had to be loaded into a staging area that was created in IBM DB2 database. The data from the staging was loaded to the data warehouse by identifying respective subject areas and separating data into dimensions and facts accordingly.

Roles and Responsibilities:

• Worked as an individual contributor and developed several mappings to load dimension and fact tables using Informatica.
• Involved in regular meetings with the customer and designed mapping document, table relationships and design documentation.
• Prepared test cases and code for the customer for their unit testing activities.
• Prepared meeting minutes updated the same to customer and internal management.

Description: The project involves offering servicing details for funded loans on a daily basis. This application would track information about the monthly installments borrowers pay after availing a loan to buy property. This involves transformation of data from COBOL sources that are provided and maintained by fidelity and loaded to Oracle target.

Roles and Responsibilities:

• Worked as an ETL developer and was part of a 6 member team
• Participated in weekly meetings with the customer to discuss issues and enhancement needs.
• Prepared Meeting minutes and updated all the parties involved in the meeting.

Working as a module lead has helped me with exposure in preparing timelines for the customer, resource planning and allocation.

I have also had a better view on my on deiliverables since this opportunity has helped me breakdown requirements into smaller chunks and implement the smaller chunks.