Aahna Mithrani

I am a results-driven supply chain professional with a background in engineering and a strong track record in procurement, logistics, and data-driven decision-making. Transitioning from engineering to supply chain, I quickly adapted and now manage a ₹200 Cr spend base, overseeing end-to-end procure-to-pay (P2P) processes for multiple business units. Skilled in contract negotiations, vendor management, and cost optimization, I have successfully achieved 10-15% savings through strategic sourcing and digital procurement using SAP and Ariba. I thrive on stepping out of my comfort zone, finding innovative solutions, and continuously expanding my skillset to drive efficiency and business impact.

• Power BI Virtual Case Experience Forage, 11/2023
• Introduction to Data Analytics IBM Coursera, 01/2024
• · Excel: Mother of Business Intelligence Code basics, 08/2024

• Optimized Barge Operations: Secured a two-year time charter for barges after analyzing one-year utilization trends. This reduced dependency on spot-hired barges, achieving a 10% cost reduction and ensuring timely availability during vessel bunching.
• Zero Vessel Demurrage: Strategically planned resources to eliminate demurrage costs, even during multiple vessel arrivals across locations.
• Cost Savings in Port Operations: Finalized long-term contracts for port handling operations, delivering $1 per ton savings compared to the previous rates.
• Vendor Development and Cost Reduction: Onboarded and developed 5 new vendors across all transportation modes, achieving 15% average savings on key long-term contracts for rail, road, and barge movements.
• Streamlined Logistics Contracts: Finalized long-term contracts for material evacuation from major mines, reducing the vendor base to 4 key partners for road and rake logistics.
• Consistent Cost Savings: Delivered an average 10% savings on all finalized contracts compared to previous purchase prices.

Received CCO Award (Individual Category) for vendor onboarding and supplier management.

• PwC Switzerland Power BI Job Simulation on Forage :

Defining KPIs, Power BI and Power BI Dashboard - https://github.com/Aahna1909/Power-Bi-Switzerland-Forage  

Demonstrated expertise in data visualization through the creation of Power BI dashboards that effectively conveyed KPIs and Leveraged analytical problem-solving skills to examine HR data.

• Outlier Detection for Air Quality Data:

Python(Data Science) -  https://github.com/Aahna1909/data-Analysis-AQI
Executed air quality forecasting project with data analysis and anomaly detection .;Utilized machine learning algorithms (Isolation Forest, SVM, KNN, IQR, DBSCAN). - Evaluated model performance using multiple metrics, showcasing problem- solving and independent execution.