My background sits between logistics, analytics, and people-focused business work.
I completed my first master's in Logistics / Industrial Engineering, then my second master's at the University of Toronto in Analytics and Machine Learning. That combination shaped how I work: find the friction first, understand the system, and then decide what kind of solution actually makes sense.
I have also worked as a data analyst focused on HR and recruitment data, with a strong emphasis on recruitment funnel analysis, KPI tracking, dashboard development, and cross functional coordination. That experience made problem finding just as important to me as problem solving. In many environments, the hardest part is not building the model. It is understanding the people, the workflow, and the bottleneck clearly enough to solve the right problem.
Because of that, I am especially interested in applying AI, analytics, and intelligent systems to areas where domain understanding matters, especially operations, logistics, workforce processes, decision support, and business performance.
- AI and analytics skills tied to real operational use cases
- Strong problem framing and bottleneck identification
- Experience with KPIs, dashboards, and funnel performance analysis
- Comfort working across technical and non-technical teams
- Domain knowledge in logistics, operations, and human workflows
- AI applications for operations and business workflows
- LLM and RAG systems with practical use cases
- Forecasting and decision support
- Process and performance improvement
- Analytics for logistics, workforce, and operational planning
| Project | What it focused on |
|---|---|
| AI-based Legal Assistant | Built a RAG pipeline for a legal client-management use case using prompt refinement, vector search, and document retrieval |
| Demand Forecasting | Developed a multi-horizon forecasting pipeline using Temporal Fusion Transformer (TFT) and presented results in Streamlit |
| Supply Chain Optimization | Built a mixed-integer optimization model in Gurobi to support better logistics planning and cost reduction |
Python SQL PyTorch TensorFlow scikit-learn Docker PostgreSQL MongoDB Apache Spark Hadoop Power BI Azure Gurobi Alteryx
📫 Email: besharatisanaz48@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/sanazbesharati/