Assist in collecting, cleaning, and preprocessing data from various sources.
Perform exploratory data analysis to uncover trends, patterns, and anomalies.
Develop and implement statistical models and ML algorithms to address business challenges.
Generate and interpret reports, visualizations, and dashboards for stakeholders.
Collaborate with cross-functional teams to deliver data-driven solutions.
Stay updated with latest data science and ML developments.

🎯 Requirements

Graduated in Engineering or related field in the last 2 years
Prior professional work experience (max 2 years) preferred
If no relevant work experience, completed DS programs with at least 6 months
Proficiency in Python, SQL, Pandas, PySpark
Experience with data analysis and visualization tools (Pandas, NumPy, Matplotlib, Tableau, Power BI)
Basic understanding of statistical methods and machine learning algorithms

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