Kunal Pandey

Applied AI and data-driven tools to improve supply chain transparency and inventory optimization within a German vintage fashion resale SME. Used KPI modelling, Excel-based regression analysis, and Power BI dashboards to evaluate throughput, WIP, inventory turnover, and operational scalability. Developed a practical optimization framework combining AI-supported product tagging, process improvement, and warehouse layout optimization. Conducted end-to-end process analysis across warehouse operations, produ

As an intern in the Supply Chain Management department at Peeces, I supported key logistics and e-commerce operations in a dynamic, fast-growing circular fashion startup. My responsibilities span across: Warehouse operations: Receiving goods, sorting, and managing inventory flow Quality control: Grading, inspecting, and preparing clothing for sale Product digitization: Entering product details into Excel and uploading to Shopify, managing detailed item-level data in Excel spreadsheets, contributing to a

-Carried out incoming orders rapidly and precisely, guaranteeing appropriate items were picked while ensuring they were shipped on timescale. -Robust quality control protocols were put in place, which reduced consumer complaints and product flaws. -Effectively recognized and established operational KPIs and process optimizations to expedite order fulfillment and shorten delay times.

•Facilitated effective communication with suppliers and closely analyzed delivery schedules, resulting in an average reduction of two days in lead times for orders over a consistent six-month period. •Ensured timely and cost-effective supply chain operations by monitoring supplier performance and addressing any issues promptly and improved the inventory accuracy. •Compiled and analyzed detailed reports on key performance indicators (KPIs) for supply chain operations, identifying three primary areas of in

•Successfully generated a significant number of high-quality leads through various channels, including cold calling, email campaigns, and targeted outreach. •Utilized social media and other digital channels to reach a wider audience and generate qualified leads. •Leveraged CRM tools to effectively manage and track leads throughout the sales pipeline. •Investigated lead generation data to identify areas for improvement and optimize strategies.

•Executed a one-month virtual internship to gain hands-on experience in specific field such as electrical engineering, sustainable energy and quality assurance. •Conducted a comprehensive technical and commercial analysis of an electric auto-rickshaw case study in India.

•Accomplished a 4-week virtual research internship focused on developing innovative solutions for ultra-low temperature storage of vaccines. •Researched and assessed the technical requirements for storing 35,000 vaccine vials at a temperature of -90°C. •Explored various storage technologies and their potential applications in the pharmaceutical industry.

Project intern at Opto-Mechanical Engineering Design Centre •Finalized a one-month internship at the OME Design Center, gaining hands-on experience in opto-mechanical engineering. •Collaborated with a team of engineers to develop innovative solutions for challenges in optical equipment’s,

-Engagement in group research initiatives, research projects, and real-world simulations like the Fresh Connection. -leveraging revolutionary technologies and techniques to improve operational efficiency and resolve challenging supply chain issues. -Gaining proficiency with Microsoft Excel softwa

-Developing enhanced skills in technology integration and data analytics is critical for making decisions in the modern supply chain. Data-driven insights are emphasized heavily in the course of study, enabling graduates for employing novel technologies to improve operations within the Supply Chain

-Expertise in working with microcontrollers (Arduino, Raspberry Pi, etc.), sensors, and actuators for automation. -Knowledge of PLC controllers, system dynamics, and real-time process optimization. -Understanding of AI algorithms, machine learning, and integrating IoT for smart systems. -Strong