Lead Data Scientist - Aiml
Leveraging advanced AI research methodologies, statistical methods, and machine learning algorithms to analyze extensive Sales, retail, Robotics Operations, finance datasets, generating actionable insights that drive strategic decision-making and improve business outcomes.Developing and refining predictive models for optimizing pricing strategies, demand forecasting, inventory management, and customer segmentation to boost operational efficiency.Collaborating with business stakeholders to pinpoint key challenges and opportunities in the retail sector, finance and Sales, transforming these insights into effective, data-driven solutions.Designing and implementing scalable machine learning pipelines, covering data preprocessing, feature engineering, model training, and deployment to enhance operational workflows.Conducting comprehensive model evaluations, including A/B testing, and iteratively improve model performance to ensure accuracy and effectiveness.Analyzing and forecasting Robotics and sensors logs data using advanced neural networks and state-of-the-art AI technologies such as NLP, RAG, and BERT models.Analyzing and forecasting sales, retails,robotics operations and financial data using LLM models like LLAMA3, GPT4, advanced neural networks and state-of-the-art AI technologies such as NLP, RAG, and BERT models. Experience with AWS and Google Cloud Platform, including model deployment, data pipeline creation, and MLOps. Familiar with cloud-based machine learning services and able to adapt to Azure ML and Databricks