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Schedule Interview NowMy name is Rajeev G. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Business Process Automation, Automation Anywhere, Data Extraction, Blue Prism, Visual Basic for Applications, etc.. I hold a degree in Master of Business Administration (MBA), Bachelor of Technology (BTech). Some of the notable projects I’ve worked on include: Travel booking bot, Insurance Claims Processing Bot, Bank Statement Reconciliation Bot, Journal Entry Processing Bot, RPA deployment_Touchless PTP. I am based in Noida, India. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
5 years
1 Year
1 Year
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Potentially possible
Accenture
The travel booking bot logs into its watsapp, fetches details of passenger who requested for a travel booking, open the booking website, populates the passenger details and books the ticket. The bot also updates the traveler through watsapp the ticket number and its image.
The insurance major deploys 80 FTEs for its claims processing unit. The process is highly manual, data entry intensive, minimal decision making and timeconsuming. • High volume inflow of insurance claims with unstructured text input. • Populating data from scanned forms into downstream portal is error prone and highly dependent on human resources. • Validations, though rule drive, are inferred from data. Hence, wrong data entry amplifies negative business impact.
The client is under pressure to deliver productivity on bank reconciliations process as they are highly data entry intensive and employ significant human processors. Reducing costs and improving TAT on bank reconciliation process is identified as a target process suffering below issues:- • Several legacy systems making any whole scale IT transformation difficult and very costly • Unstructured data owing to regional nuances and multiple bank statement back ups • Highly error-prone and time taking manual process resulting in duplicate/incorrect entries
The client’s BPO partner deploys 50 FTEs to process journal entries manually for its FMCG client. The process was highly manual, data entry intensive and time-consuming. • Input JE volume is non-uniform across a month • Peak MEC volume is 30 times the non-MEC volume • Unstructured data input owing to regional nuances of MJE Preparation • Highly error prone manual process with lot of dependency on resources Solution DigiPrompt’s agile RPA execution methodology (PSDTR framework) employed to automate this process while leveraging digital capabilities of existing ERP and workflow systems. • The JE bot logs into the client environment and opens up outlook. • Standard JE template framed covering regional variations arrives in the mailbox and is picked by the bot. • Bot performs various validations on the data in template and then logs into the ERP for JE creation / posting. • The journal entry is submitted in finance system Impact Upto~80 percent productivity gains and significant value generation for our client. - JE Load Distribution: JEs below specific threshold are routed for processing over non-MEC days, thereby ensuring load balancing and optimal resource utilisation - Improved Controllership: Client’s JE posting TAT improves and incorrect JE posting reduced by 60%. - Scalability: The solution being scaled to client’s other business units - Peak vs Non Peak JEs: Ratio of Peak JE # to Non MEC JE # reduces from 30 to 8
Master of Business Administration (MBA) in Finance, Data Sciences
2016-01-01-2017-01-01
Bachelor of Technology (BTech) in Information Technology
2005-01-01-2009-01-01