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🤓 ML Internship
Early-stage AI startup building demand forecasting and pricing infrastructure for the travel and hospitality industry.
First and last name
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Email address
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LinkedIn URL
Preferred start and end date
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Tech stack competency level
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No Experience
Beginner
Intermediate
Advanced
SQL (Postgres, ClickHouse)
Python notebooks (Pandas, NumPy, DuckDB)
Traditional ML (regression, classification, etc)
Time-series (ARIMA, Prophet)
LightGBM, XGBoost, LSTMs
NodeJs/Typescript (backend)
Describe a project where you worked with time series data. What was the problem, what method did you use, and what was the result?
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