CV

Experience

Data Scientist | CDC Cartel Damage Claims (Kaiserslautern, Germany) August 2025 - Present

Generative AI: Built a RAG system (Retrieval-Augmented Generation) for regulatory Q&A, integrating human-in-the-loop validation and automated deployment workflows.

Data Scientist | Snapp! (Tehran, Iran) March 2021 - July 2023

Forecasting: Developed models to balance driver supply and demand, reducing wait times by 2 minutes.
Dynamic Pricing: Designed dynamic pricing algorithms to maximize revenue (+3%) during high-demand periods.
Real-time ML: Utilized real-time data to enhance ETA prediction accuracy by 2.5%.
Analytics: Monitored KPIs to identify and execute optimizations that improved driver utilization and completion rates.

Data Scientist | Digikala Group (Tehran, Iran) May 2019 - March 2021

Recommendation Systems: Engineered hybrid recommendation engines (Association Rules, Collaborative Filtering) to redesign the “Frequently Bought Together” module, boosting Average Order Value (AOV) by 5%.
Price Optimization: Developed price optimization algorithms for Flash Sales (“Shegeftane”) achieving ~95% sell-through without eroding margins.
Forecasting: Built robust demand forecasting pipelines (XGBoost, Prophet) handling 4x traffic loads during Black Friday, reducing logistics bottlenecks by 10%.
NLP/Search: Enhanced search relevance by integrating custom Persian NLP models for semantic matching and misspelling correction, reducing “Zero Search Result” queries by 7%.

M.S. in Language Technology & Digital Humanities (NLP), University of Turin, 2023 - 2026
B.S. in Computer Science, Amir Kabir University of Technology (Tehran Polytechnic), 2015 - 2019

Research Collaborator Unito (University of Turin)
- Sep 2023 - Jun 2026
- Linguistic Interoperability: Developed and implemented the foundational infrastructure for a lemma bank, facilitating the standardized structuring and exchange of linguistic data resources.
Project Contributor Amir Kabir University of Technology
- Sep 2018 - Mar 2019
- Institutional Analytics: Created robust analytical dashboards to support institutional decision-making and enhance strategic academic planning.

Programming: Python (OOP, Pandas, NumPy, Scikit-learn), SQL
Machine Learning: Deep Learning, NLP, Recommendation Systems, Classification/Regression, Statistical Modeling (Time Series Analysis - Prophet, Hypothesis Testing)
LLMs & Generative AI: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, RAG, LoRA/QLoRA
Data & Big Data: Vector Databases (Pinecone, FAISS, Chroma), NoSQL, Apache Spark, Kafka
Cloud & MLOps: AWS (SageMaker), GCP (Vertex AI), Azure ML, Docker, Git
Visualization: Tableau, Power BI