Deliver end‑to‑end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data‑driven solutions.
Present complex analytical findings in a clear, actionable way to both technical and non‑technical audiences.
Contribute to analytical planning and ensure alignment with overall business objectives.
Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.