Arsa Nikzad — AI Researcher
I am a structural engineer and data scientist with more than 10 years of experience in time series forecasting. I specialize in developing and enhancing forecasting engines for large-scale companies. I have developed and contributed to core forecasting engines in sectors like e-commerce retail (Wayfair), pharmaceuticals (Janssen, Bayer), and heavy machinery (Finning-Caterpillar). I am also an avid forecasting competition participant. I competed in M4, placed in the top 3% of M5, and secured 1st and 3rd positions in the first and second phases of VN1. In 2025, along with my colleagues, I won (1st place) the prestigious Forecasting Practice Competition of the International Institute of Forecasters for implementing a large-scale forecasting system for Wayfair.
Stackforce AI infers this person is a Data Scientist specializing in Forecasting within E-commerce and Pharmaceuticals.
Location: Greater Toronto Area, Canada
Experience: 12 yrs
Skills
- Machine Learning
- Forecasting
- Structural Engineering
Career Highlights
- Over 10 years of experience in time series forecasting.
- Top 3% in M5 forecasting competition.
- 1st place in International Institute of Forecasters competition.
Work Experience
Wayfair
Senior ML Scientist | Forecasting (3 yrs 11 mos)
Finning
Senior Data Scientist | Forecasting (1 yr 1 mo)
Scarsin Corporation
Lead Data Scientist | Forecasting (5 yrs 7 mos)
Tehran Raymand Consulting Engineers
Senior Structural Engineer (6 yrs 5 mos)
Education
Master's degree at Willamette University
Bachelor’s Degree at K. N. Toosi University of Technology