SMITHA N

• Good understanding of SAP Material Master, which includes material creation, modification, and plant extension, basic data; classification; data validation; and cooordination with other functional teams like BOM Creation, MRP, Storage Location, Warehouse, Accounting, Costing, SD, and LCM cycles to complete the entire process.

• Assisted with the development of new policies and procedures for daily operations.

• Successfully involved in the transition of the project, documented the project SOP, provided a satisfactory customer solution to the client, and achieved 99% quality within the SLA.

• Implemented process improvements that increased efficiency within the organization. Monitored progress of projects against established timelines and milestones.

• Maintained accurate records of team progress towards specified targets and goals.

• Learned company processes, procedures and employee role functions, when transitioning Master Data Process

• Maintained accurate records of all transition activities throughout the entire project lifecycle.

• Good knowledge of ETL process (Extract, Transform and Load) in Power BI tool

• Migrated MDM, data quality checks, analysis, and reporting make effective CD.

• Assign the task to the team members and assist them in getting “First Time, First Quality” output.

• Experienced in data analysis, data migration, data cleansing, data harmonization, and data validation activities using SAP MDG and Power BI tools

• LCM cycle DQ activities include identifying the errors and correcting the data as per the defined rules, as well as deactivating and reactivating the material based on business requirements.

• Preparing decks for the calls and taking ownership to discuss the status of the project.

• Managed project teams of up to 6 members in the transition and implementation of Master Data Processes - UKI Regions

• Handled team of 10 members

• Requirements gathering from end-customers, suppliers and business partners for product upgrades, increase features by enriched data in structured format.

• Set up efficient organizational processes to achieve optimal productivity by adhering to accuracy standards, thus ensuring high service delivery and execution.

• Interpret data from primary and secondary sources using statistical techniques or web search.

• Enrich the data by identifying correct noun and modifier.

• Handle Taxonomy, schema development, Data classification, Attribute list building and UNSPSC.

• Mapping the values to the attributes by web search and structure the data consistently.

• Analyzing and cleansing the source data as per the standards given by the clients (SOP).

• Create Short, Long and Invoice descriptions and Keywords using standard company tools (MACROS).

• Quality Audit of data following company standards. Upload enriched data source to PAXATA and CIMM (Unilog Tools).

• Effectively make plans that support project goals and lead the team to perform efficiently.

• Able to play a key role in analyzing problems and come up with creative solutions as well as producing methodologies for effective data management.

• Focus on First Time First Data Quality criteria to ensure delivery objectives are met on scheduled time

• Developed project plans to monitor and track progress.

• Proficient in Data Enrichment, Data Cleansing, Data Normalization and Standardization, Quality Control, Attribute Value Extraction, De-Duplication, Digital Assets Extraction and UNSPSC Coding.

• Ensure the projects are delivered on time within the stipulated scope and budget.

• Creation of Daily, Weekly and Monthly Business reports.Preparation of scoreboard reports of all the employees.

• Developing and improving business processes through tools, metrics to enable decision making.

• JIRA: Track the issues and bug from start to end and prioritize, assign, report and audit using some tools and methods.

• Audit Management: Track the issues and requirements of the client regarding product and audit the same following some company standards.

• One-on-One Mentorship programs were conducted for Trainees, providing the guidance and support to professional skill and knowledge transfer.

• End-to-End data ownership from data sourcing through data cleansing, transforming, validating and modeling.

Provide RoHS Data for the respective product referring to MSDS sheets.

• Classification of the products with respective UNSPSC Code or company’s standard code as per the requirement

• Data Validation - Recursive Quality Check until data is 99.95% accurate

• Analyzing the source data given by client, Cleansing given data by approved standards of client.
• Enrich the data by identifying correct noun and modifier and mapping the values to the attributes by web search and structure the data in consistence manner.
• Experienced in Data Classification, Data Sourcing, Data Cleansing and Data Enrichment of Plumbing, PVF, Automobile, Mechanical, Electrical and Electronic Components.