Design, Develop and Deployed Aftermarket SAAS Solutions for world’s leading OEM’s or Manufacturers. Responsible for completing Solution architecture lifecycle both for standard products and professional services. Expertise in creating scalable, Standardization, user-friendly Software solutions. Created Data Models, Data architectures and Database Management solutions. Worked on Data Visualization tools like PowerBI and Looker. Identifying different Data sources (ERP’s / CRM’s / Other tools) with the support of Business and IT leaders from leading OEM’s. Conduct Business and Data gathering calls to go through the information request / data templates. Preparing Functional Requirement document and Business Requirement document. Preparing data mapping between source and destination systems in the documentation. Preparing flow of data and data transformation logics across all the data sets received from different customers. Working on detailed data analysis to make sure data feeds are in line with the data mapping finalized. Model and transform the data using Data Modeling and ETL tools, respectively. (Used Trifecta to model or prepare the data) Debugging data issues using SQL and thus providing relevant solutions. Providing guidance and training to the team of Data Analysts. Working with Data science / AI teams to create customized algorithms for clients.

Design, Develop and Deployed Aftermarket SAAS Solutions for world’s leading OEM’s or Manufacturers.Responsible for completing Solution architecture lifecycle both for standard products and professional services. Expertise in creating scalable, Standardization, user-friendly Software solutions.Created Data Models, Data architectures and Database Management solutions. Worked on Data Visualization tools like PowerBI and Looker. Identifying different Data sources (ERP’s / CRM’s / Other tools) with the support of Business and IT leaders from leading OEM’s.Consultation, Implementation and working knowledge of manufacturing principles, including sales order and distribution, warehousing and inventory management, Bill of materials, Bill of manufacturing (BOM), production and quality, Maintenance and Repair, Asset Management, Purchase requisition and Purchase Order (PR/PO Conduct Business and Data gathering calls to go through the information request / data templates. Preparing Functional Requirement document and Business Requirement document.Preparing data mapping between source and destination systems in the documentation. Preparing flow of data and data transformation logics across all the data sets received from different customers. Working on detailed data analysis to make sure data feeds are in line with the data mapping finalized. Model and transform the data using Data Modeling and ETL tools, respectively. (Used Trifecta to model or prepare the data) .Solution and product Design reviews Create data visualizations Dashboards using Excel and Looker Dashboards. Debugging data issues using SQL and thus providing relevant solutions. Providing guidance and training to the team of Data Analysts.Working with Data science / AI teams to create customized algorithms for clients.

My role involves building predictive models, developing dashboards, and collaborating across departments to turn complex data into actionable insights. With a focus on improving customer satisfaction and driving revenue, I leverage advanced analytics to support business growth and enhance the overall customer lifecycle experience.

I manage and guide a group of talented professionals, ensuring smooth collaboration and alignment with company goals. My primary focus is on fostering a positive, productive team environment where each member can thrive and contribute effectively. I oversee daily operations, provide mentorship, and drive continuous improvement by encouraging open communication and innovative problem-solving. By balancing team development with project management, I ensure that objectives are met efficiently, and team members are empowered to achieve their full potential.

Utilized advanced analytics techniques to derive actionable insights from large datasets, contributing to informed decision-making within the supply chain risk management domain. Developed and implemented predictive models to assess and forecast supply chain risks, enhancing the platform's ability to proactively mitigate potential disruptions. Applied data mining techniques to identify patterns and trends in supply chain data, enabling the early detection of potential risks and vulnerabilities. Designed and implemented machine learning algorithms to automate risk assessment processes, improving efficiency and accuracy in risk identification. Developed optimization strategies for supply chain operations based on data-driven insights, contributing to cost reduction, and improved overall efficiency. Collaborated with cross-functional teams, including logistics, procurement, and operations, to integrate data science solutions seamlessly into the supply chain risk management platform. Tailored risk models to specific industry and organizational needs, ensuring the platform's adaptability to diverse supply chain environments. Implemented real-time monitoring capabilities and alert systems, allowing stakeholders to respond promptly to emerging risks and disruptions. Developed interactive and visually compelling dashboards to communicate complex risk insights to non-technical stakeholders, facilitating data-driven decision-making. Engaged in continuous improvement initiatives, staying abreast of industry trends, and integrating emerging technologies to enhance the platform's capabilities over time. Facilitated communication between technical and non-technical teams, ensuring a shared understanding of data-driven insights and promoting collaboration for effective risk management.

Implemented real-time monitoring capabilities and alert systems, allowing stakeholders to respond promptly to emerging risks and disruptions. Developed interactive and visually compelling dashboards to communicate complex risk insights to non-technical stakeholders, facilitating data-driven decision-making. Engaged in continuous improvement initiatives, staying abreast of industry trends, and integrating emerging technologies to enhance the platform's capabilities over time. Facilitated communication between technical and non-technical teams, ensuring a shared understanding of data-driven insights and promoting collaboration for effective risk management.

As an Analyst at eClerx, i was responsible for gathering, cleaning, and analyzing large datasets to uncover trends and insights that drive business decisions. Analysts are responsible for creating and automating reports, dashboards, and data visualizations, making complex information easily digestible for stakeholders. They collaborate with cross-functional teams and clients to understand business needs, optimize processes, and implement solutions that improve efficiency and reduce costs. Additionally, they support project management, ensure data integrity, and stay updated on the latest tools and techniques in data analytics, continually striving for process improvement and operational excellence.