CV
Curriculum vitae
Rasoul Panahi
Staff Data Scientist at UKG
Profile
Senior Data Scientist with 8+ years of experience, dual Master’s in Mathematics, and a strong technical foundation in Python, SQL, machine learning, deep learning, and LLM/Transformer architectures. Bilingual in English and French, with cloud experience across Azure, AWS, and Databricks.
Experience
Staff Data Scientist UKG
Currently working as a Staff Data Scientist at UKG.
Senior Data Scientist Morgan Stanley
Applies machine learning and statistical analysis across the software development lifecycle, builds anomaly detection and predictive risk models, contributes to an LLM-based developer chatbot, and tracks engineering KPIs including DORA metrics.
Data Scientist Desjardins
Built time-series forecasting models for inbound call volumes; worked extensively with SQL for data preparation and cross-team requirements gathering.
Data Scientist University of Montreal
Developed machine learning models to predict hospital admissions using Random Forest, XGBoost, neural networks, and logistic regression.
Data Scientist Intern Pratt & Whitney Canada
Assessed financial risk on aircraft engine maintenance contracts using actuarial and predictive modeling; presented insights via Power BI.
Data Scientist Intern SNCF, Paris
Built models to predict train delays and distinguish root from propagated delays for railway anomaly detection.
Education
Master’s in Financial and Computational Mathematics University of Montreal
Master’s in Mathematics University of Shahid Beheshti, Tehran
Bachelor’s in Mathematics University of Tehran
Key Skills
Python, SQL, SAS, R, Java, scikit-learn, PyTorch, XGBoost, Machine Learning, Deep Learning, Time Series Analysis, LLMs, RAG, Transformers, Databricks, Azure, AWS.