Description

Required Skills: Programming & Tools Python (must-have)

• SQL for data extraction and manipulation

• Experience with Jupyter Notebook / similar environments

• Statistical & Analytical Skills Strong foundation in:

• Probability and statistics

• Hypothesis testing • Regression analysis

• Time series analysis Experience with classical ML techniques:

• Linear/Logistic Regression

• Decision Trees, Random Forest

• K-Means / clustering methods Data Handling •

 Data wrangling and feature engineering • Experience working with datasets (NoSQL, RDBMS, data warehouses)

• Familiarity with data quality and validation techniques Visualization & Reporting

• Tools such as Tableau / Power BI / Matplotlib / Seaborn

• Ability to present insights in business-friendly language

Key Skills

Education

Bachelor's degree