Assist in developing and implementing machine learning models to address business
Help build and maintain data pipelines and reporting systems for business metrics
Conduct exploratory data analysis to uncover patterns and insights
Prepare and clean datasets for analysis and model building
Create visualizations to communicate analytical findings effectively
Identify customer behavior patterns to inform business strategy
Qualifications/Experience:
Programming skills in Python, with knowledge of data science libraries (NumPy, Pandas, Scikit-learn, etc.)
Experience with SQL for data extraction and manipulation, Familiarity with dashboard creation using PowerBI or similar tools
Understanding of fundamental statistical techniques and machine learning algorithms, Knowledge of cloud platforms (preferably Azure)
Knowledge of machine learning approaches such as Regression, Classification techniques, Clustering Neural Networks, CV, NLP etc., Familiarity with version control systems (Git) and collaborative workflows, Ability to communicate technical concepts to non-technical audiences
Strong analytical thinking and problem-solving skills, Eagerness to learn and grow in the field of data science
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