Jan 2020 – Sep 2021 · 1 yr 8 mos

• Developed a Push/Pull Decision Support System to optimize inventory flow from distribution centers to stores, enhancing supply chain efficiency. Led a strategic initiative to create a 'COVID-19 Antidote for Supply Problems,' mitigating revenue risks caused by pandemic-driven supply constraints. Additionally, mentored and guided the professional growth of Inventory Specialists, fostering a high-performing team.

Dec 2018 – Dec 2019 · 1 yr

• Played a key role in establishing the Inventory Optimization function at KAS as one of the first two specialists, leading the implementation of Blue Yonder’s Demand and Fulfillment solutions. Developed a load forecasting model to enhance labor planning at stores and designed a Network Optimization logic to reroute New Zealand orders to Australian DCs, addressing space constraints in NZ distribution centers. Built a Business Benefit Analysis Toolkit to quantify the value added by Blue Yonder’s implementation across supply chain functions. Additionally, trained the entire Inventory Team on Power BI and SQL, significantly improving insight generation and data-driven decision-making.

Aug 2016 – Nov 2018 · 2 yrs 3 mos · Bengaluru, Karnataka, India

• Joined Novo’s Supply Chain Department as the first India-based SME, leading the functional space for product supply. Developed Value Stream Maps for six global insulin manufacturing plants and managed key Supply Chain KPIs to drive performance improvements. Partnered with production planners to resolve daily inventory challenges and implemented data-driven solutions. Designed and built advanced Alteryx models to digitize and streamline Novo’s supply chain operations.

Apr 2015 – Jul 2016 · 1 yr 3 mos · Bangalore

• Consulted for Unilever as part of the Inventory Control Tower, driving supply chain strategy for the Ice Cream business across Europe. Developed production and postponement plans to optimize efficiency and built a solution to mitigate Unproductive Inventory. Beyond client engagement, led a three-member team in designing a statistical analysis package for forecasting new product launches - one of the cornerstone projects that contributed to the establishment of the Demand Control Tower as a standalone function.

Nov 2013 – Mar 2015 · 1 yr 4 mos

• Led cross-functional business improvement initiatives and spearheaded collaborations across teams to drive operational efficiency. Played a key role in establishing the first offshore Merchandise Planning Team, developing and implementing end-to-end supply chain processes for the multi-channel space.

May 2012 – Oct 2013 · 1 yr 5 mos

• Led planning and replenishment for 10,000+ product lines in the Hardlines & Healthcare Business Units across 1,800 Target stores in the US. Optimized inventory allocation, resolved stock-out challenges, corrected forecasting errors, and refined sales profiles to drive efficiency and availability.

Apr 2011 – Jun 2011 · 2 mos · Chennai, Tamil Nadu, India

• Led a comprehensive research and quality audit of the procurement process at a government-owned railway coach manufacturing organization. Analysed end-to-end procurement workflows, vendor management practices, and inventory control mechanisms. Identified key bottlenecks causing delays in order placement and excess inventory build-up. Provided data-driven recommendations to streamline the procurement cycle, improve supplier coordination, and optimise buffer stock levels - resulting in enhanced supply chain responsiveness and cost efficiency.

Feb 2010 – Apr 2010 · 2 mos · Ranipet, Tamil Nadu, India · On-site

• Collaborated with a technical team to design and implement a CAN-based (Controller Area Network) communication interface for Electrostatic Precipitator (ESP) controllers.
• The project aimed at enabling efficient data exchange between microcontrollers, resulting in enhanced operational efficiency and control accuracy of ESP systems.
• Key technologies used:
• Microcontrollers: ATmega128, ESP32
• Development Board: STK600
• Platform: WinAVR (Windows AVR toolchain for GCC-based embedded development)
• Impact: Achieved significant improvements in real-time communication and system responsiveness, contributing to better performance and reliability of industrial ESP units.