RANBEER KADAM
@ranbeerkadam
I optimize demand forecasts, inventory visibility, and supply planning across complex operations.
What I'm looking for
At Colgate-Palmolive, I analyzed workforce capacity across 20 global plants, informing planning decisions for 80% of supply chain operations. I automated demand modeling in Python and used Lucidchart and Seaborn to surface efficiency gaps, support workforce planning, and prioritize digital twin implementation.
Previously at STK Jewellers, I improved inventory visibility and accuracy by 45% through RFID tracking, digitized billing to save 25% of administrative time, and supported replenishment planning and supplier negotiations. I'm pursuing a Master's in Supply Chain Analytics at Rutgers Business School and apply Python, Power BI, Excel, SAP/ERP, SQL, and Lean Six Sigma to improve planning, procurement, and operations.
Experience
Work history, roles, and key accomplishments
Analyzed workforce capacity data across 20 global plants to identify supply-demand imbalances, informing planning decisions for 80% of supply chain operations. Automated demand modeling using Python and identified root-cause inefficiencies to implement targeted process improvements.
Junior Supply Chain Associate
STK Jewellers
Jan 2023 - Dec 2024 (1 year 11 months)
Conducted biweekly demand analysis of customer purchasing patterns to enable proactive inventory replenishment and reduce stockout risk. Implemented RFID-based inventory tracking, improving stock visibility by 45%, and digitized billing systems to save 25% of administrative time.
Business Operations Intern
Siddhnath Chitra Mandir Theater
Jan 2022 - Dec 2023 (1 year 11 months)
Spearheaded revenue diversification strategies from concept to execution, achieving a 65% increase in overall income. Applied Lean methodologies and financial/ROI analysis to optimize resource allocation and guide budget decisions.
Education
Degrees, certifications, and relevant coursework
Rutgers Business School
Master of Science, Supply Chain Analytics
Pursuing a Master's in Supply Chain Analytics at Rutgers Business School, expected to graduate in December 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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