Susil

Aspiring AI Engineer with hands-on experience building and deploying machine learning and AI applications using Python. Strong background in data and planning analysis and operational planning, with 5 years of experience in shipment forecasting, capacity planning, KPI analysis, and identifying operational performance gaps. Skilled in transforming business data into actionable insights and developing AI-driven solutions to solve real-world problems.

Data & Planning Analyst at Zoelink Logistics (2020-01 – 2026-01)

• Analyzed weekly and monthly shipment data to forecast customer shipment volumes and anticipate upcoming demand, supporting operational and capacity planning decisions.
• Analyzed historical shipment accumulation and available rail capacity to identify expected space utilization, plan capacity allocation, and minimize unused or insufficient rail space during normal and peak periods.
• Monitored key logistics KPIs, including On-Time and In-Full (OTIF) delivery performance, to identify customers and shipments where service-level targets were not achieved.
• Investigated KPI deviations and operational issues, communicated findings to the relevant teams, and supported corrective action planning to improve delivery performance and operational efficiency.

B.E. in Electronics and Communication Engineering – Infant Jesus College of Engineering

Master of Computer Applications in Computer Applications – Bharathiar University