DE&A - AIML - Data Science - Machine Learning
Tasks
- Build classification and regression models
- Build survival analysis models
- Conduct causal analysis
- Create model explainability pipelines
- Define model performance thresholds
- Develop probabilistic forecasting models
- Develop time-series forecasting models
- Engineer features
- Perform exploratory data analysis
- Perform process mining
- Refine models based on feedback
- Train validate and backtest supervised machine learning models
- Validate model outputs with business stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | Causal analysis | Data Analysis | Exploratory Data Analysis | Feature Engineering | LightGBM | NumPy | Pandas | Process mining | Prophet | Python | Random Forest | SHAP | Scikit-learn | Series forecasting | Supervised Learning | Survival analysis | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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