Data Analyst / Scientist

• Develop, train, and optimize machine learning models for classification, regression, forecasting, clustering, NLP, and deep learning use cases. • Build AI-driven solutions such as recommendation engines, anomaly detection systems, predictive scoring models, and generative AI applications. • Perform end‑to‑end data science workflows including data acquisition, cleaning, feature engineering, model selection, validation, and deployment. • Collaborate with data engineers to design scalable data pipelines and ensure high‑quality data availability for modelling. • Implement MLOps practices such as model versioning, monitoring, retraining, and performance tracking. • Conduct statistical analysis, experiment design, and A/B testing to validate model effectiveness and business impact. • Work with cloud platforms (Azure, AWS, or GCP) to train, deploy, and operationalize ML models. • Communicate insights, model results, and recommendations to technical and non‑technical stakeholders through dashboards, reports, and presentations. • Integrate models into business applications using APIs, cloud services, or automation frameworks. • Stay updated on emerging AI/ML technologies, LLMs, and best practices to continuously improve modeling approaches. • Strong proficiency in Python and ML libraries such as Pandas, NumPy, Scikit‑learn, TensorFlow, or PyTorch. • Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. • Experience with SQL and working with relational databases. • Familiarity with cloud ML platforms such as Azure ML, AWS SageMaker, or Google Vertex AI. • Knowledge of MLOps tools and practices including MLflow, Kubeflow, or CI/CD pipelines. • Experience working with large datasets and distributed computing frameworks such as Spark or Databricks. • Strong data visualization and communication skills using Power BI, Tableau, or Python visualization libraries. • Understanding of NLP, deep learning architectures, and generative AI concepts. • Ability to translate business problems into analytical solutions and measurable KPIs Certification Microsoft PL-300: Power BI Data Analyst Certification Any Cloud Certificate