Data Analyst - Ai & Ml

As a Data Analyst with 3+ years of experience in AI & ML, your role will involve the following responsibilities: - Collect, clean, and analyze structured and unstructured data from various sources. - Develop data models and validate datasets to support AI/ML initiatives. - Create dashboards, reports, and visualizations for stakeholders. - Conduct exploratory data analysis to identify trends, patterns, and anomalies. - Collaborate with data scientists and engineering teams for machine learning model development. - Translate business requirements into analytical solutions and actionable insights. - Ensure data accuracy, integrity, and consistency in different data pipelines. - Document analytical processes, models, and insights for future reference. Your qualifications should include: - 3+ years of experience in a Data Analyst or similar role. - Proficiency in SQL and Python for data analysis. - Hands-on experience with AI/ML concepts and data preparation. - Familiarity with data visualization tools like Power BI, Tableau, etc. - Understanding of statistical analysis, predictive modeling, and machine learning basics. - Experience with large datasets and data preprocessing techniques. - Strong analytical and problem-solving skills. - Excellent communication skills for presenting insights to business stakeholders. Additionally, preferred qualifications may include exposure to machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch, experience with cloud platforms like AWS, Azure, or GCP, knowledge of ETL processes and data warehousing concepts, and experience in building predictive analytics or AI-driven insights. As a Data Analyst with 3+ years of experience in AI & ML, your role will involve the following responsibilities: - Collect, clean, and analyze structured and unstructured data from various sources. - Develop data models and validate datasets to support AI/ML initiatives. - Create dashboards, reports, and visualizations for stakeholders. - Conduct exploratory data analysis to identify trends, patterns, and anomalies. - Collaborate with data scientists and engineering teams for machine learning model development. - Translate business requirements into analytical solutions and actionable insights. - Ensure data accuracy, integrity, and consistency in different data pipelines. - Document analytical processes, models, and insights for future reference. Your qualifications should include: - 3+ years of experience in a Data Analyst or similar role. - Proficiency in SQL and Python for data analysis. - Hands-on experience with AI/ML concepts and data preparation. - Familiarity with data visualization tools like Power BI, Tableau, etc. - Understanding of statistical analysis, predictive modeling, and machine learning basics. - Experience with large datasets and data preprocessing techniques. - Strong analytical and problem-solving skills. - Excellent communication skills for presenting insights to business stakeholders. Additionally, preferred qualifications may include exposure to machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch, experience with cloud platforms like AWS, Azure, or GCP, knowledge of ETL processes and data warehousing concepts, and experience in building predictive analytics or AI-driven insights.