Job Description

Responsibilities:

• Perform in-depth data analysis and create visual representations to uncover patterns and trends.
• Build and implement AI/ML models to forecast outcomes and streamline business processes.
• Design and carry out experiments to test hypotheses and validate model performance.
• Communicate with Stakeholders, presenting findings and insights in an actionable manner.

Qualifications:

• Minimum of 3 years in a fast-paced financial or similar environment.
• Proficient in Python and R, with experience in libraries like Pandas, scikit-learn, and TensorFlow.
• Skilled in data visualization tools (like Tableau).
• Strong understanding of statistical methods and their application in data analysis.
• Capable of writing complex SQL queries to extract and manipulate data.
• Ideally exposure to Cloud Platforms (like GCP), Big Data Tools (Spark and Kafka), and ETL Processes (data pipeline design)

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