What You’ll Be Doing:

• Work on end‑to‑end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support (e.g., demand forecasting, churn prediction).

• Explore and clean data; perform Exploratory Data Analysis (EDA) to understand datasets and identify data quality issues.

• Engineer features for tabular and time‑series data. Train, validate, and tune standard Machine Learning models (e.g., logistic regression, decision trees, ensemble methods, gradient boosting, classical time‑series models, simple neural networks).

• Evaluate models using appropriate metrics that have clear impact on business KPIs.

• Build clear visualizations and deliver concise reports to present insights and model results to business stakeholders. Collaborate with data engineers and AI engineers to bring models to production (batch scoring, APIs...