Vaishali Sahajwani
About Vaishali Sahajwani
Vaishali Sahajwani is an Associate Consultant at KPMG Global Services, with prior experience as an Application Development Analyst and Associate Software Engineer at Accenture. She specializes in designing custom Salesforce solutions and has a strong background in data analysis and component deployment.
Work at KPMG India
Currently, Vaishali Sahajwani serves as an Associate Consultant at KPMG Global Services (KGS) in Bangalore Urban, Karnataka, India. She has been with the company since 2021. In this role, she applies her expertise in Salesforce to deliver tailored solutions and enhance client operations.
Previous Experience at Accenture
Vaishali Sahajwani worked at Accenture in two capacities. She served as an Associate Software Engineer from 2018 to 2020 for two years, followed by a role as an Application Development Analyst from 2020 to 2021 for nine months in Pune, Maharashtra, India. During her tenure, she contributed to various software development projects.
Education and Expertise
Vaishali Sahajwani completed her B.Tech in Information Technology at Seth Jai Parkash Mukand Lal Institute of Engineering & Technology from 2014 to 2018. She also attended Springfields Public School in Yamunanagar from 2012 to 2014. Her educational background supports her technical skills in Salesforce and custom solution design.
Salesforce Skills and Knowledge
Vaishali possesses significant expertise in Salesforce, including designing custom solutions using Apex Code, which encompasses Triggers, Invocable methods, and Utility & Batch Classes. She has a working knowledge of generating and analyzing customized reports and dashboards in Salesforce, and is skilled in various data tools such as Copado, Apex Data Loader, and Workbench.
Technical Proficiencies
Vaishali Sahajwani has a strong background in designing and deploying Salesforce components, including Custom tabs, Custom Objects, and Visual Force Components. She is experienced in implementing data quality measures through various techniques such as picklists, dependent picklists, lookups, master-detail relationships, and record types.