Extract large data from various data sources using multiple tools such as Python/Pyspark/Databricks/ SQL etc., to perform multiple analysis Manage all analytical solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
Learn to generate Analytical Insights on various portfolios
Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, and development of new capabilities
Exposure to create detailed reports on projects delivered
Key Requirements:
2025 pass-outs with programming proficiency
Knowledge of Python packages and tools is preferred
Good Knowledge on application of Statistical Technique
Ability to interpret and translate data into meaningful insights
Excellent verbal and written communication skills in English
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