Job Description
- Strong proficiency in Python and data processing libraries (Pandas, Num Py)- Experience with data analysis, statistical modeling, and time-series analysis- Hands-on experience with machine learning techniques (forecasting, anomaly detection) and- Experience in building recommendation or decision-support systems- Ability to translate data into actionable insights and recommendations