Data Analyst / Scientist Premier Point Consultancy LLC

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.