Hi There,
I'm Animesh Dhole
i am into
About Me
printf(" I am a SAP Consultant based in United States.
I was born and raised in India, and my journey has taken me through the halls of Indiana University, where I picked up my Masters degree.
My interests range from SAP Consulting to exploring the latest in tech innovations.
Working for myself to improve my skills.
Love to build Full-Stack clones in mean time");
Jan 2024 - Current
• Manage the migration of legacy systems to SAP HANA, reducing system downtime by 10% and ensuring a seamless transition for end-users.
• Configuring SAP APO to optimize demand forecasting, production planning, and supply network efficiency.
• Data Analysis: Gained experience with CUDA and deep learning techniques for data analysis. Implemented GPU optimization and IPC methods to enhance performance. Tackled inefficiencies in data processing by developing automated workflows, reducing analysis time by 25%.
• Configured CO-PA reports to generate 2+ custom profitability insights for a client, leading to an 18% improvement in product costing accuracy.
• Optimized financial processes in S/4HANA projects by leveraging the embedded analytics features, leading to a 10% improvement in decision-making speed.
Jan 2020 - July 2022
• Streamlined warehouse operations by configuring SAP EWM to automate picking and packing processes.
• Implemented and customized SAP modules including Financial Accounting (FI) and Controlling (CO) to optimize financial processes for clients, resulting in a 20% reduction in operational costs.
• Leveraged S/4HANA simplifications to eliminate redundant customizing objects, streamlining the system landscape and reducing maintenance effort by 16%.
• Integrated SAP with third-party systems (CRM, ERP, SCM) using middleware technologies like SAP Integration Suite, enhancing data flow and interoperability.
June 2021 - Oct 2021
• Facilitated development of an e-commerce web application for medical equipment, utilizing Angular.js and Node.js to streamline transactions and enhance user interactions.
• Implemented a customized admin dashboard for efficient inventory and order management, enhancing operational control and facilitating seamless monitoring of product flow and customer orders, elevating the business performance and boost in sales by 35%.
• Engineered and implemented advanced security measures, including OAuth for user authentication and AES encryption for transactions, using C# and .NET, reducing fraudulent transaction risks by 99%.
• Collaborated with the DevOps team to integrate these protocols into the CI/CD pipeline, ensuring seamless deployment and high security standards.
Nov 2021 - Feb 2022
• Developed and deployed a rapid prototype for Pervasive Disorder Detection system using machine learning algorithms (RF and k-NN).
• Achieved diagnostic accuracy with an AUC of 0.997, demonstrating versatility in applying emerging technologies to real-world problems.
