•Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.•Cleanse data and scrutinize computer-generated reports and outputs to identify.•Coordinate with management to align business and informational priorities.•Employ statistical techniques to scrutinize data and produce actionable business insights.•Collaborate with the management team to determine and rank the needs of different business units.•Develop data dashboards, charts, and visual aids to support decision-making across departments.•Performing quality control and result validation to make sure the data is accurate.•Partner with engineering and product development teams to understand business requirements.•Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.•Worked as a research analyst for Google devices' AI generation.•To give the best coverage and achieve my production objectives, I worked at many stations. Amazon Project(GEN AI ChatGPT): Contributed to the development of GEN AI ChatGPT, a cutting-edge and conversational AI model, as part of a collaborative team.. AWS Sagemaker: Analyzed and processed large datasets to train and fine-tune AI models using AWSSageMaker.. Data Analysis and Visualization: Identified trends and insights from data analysis to inform modelimprovements and optimization. AI/ML model training and deployment: Trained and fine-tuned AI/ML models using large datasets and various algorithms (e.g., supervised, unsupervised, reinforcement learning). Tech Stack:: AWS Sagemaker, Salesforce, MySql, GenAI, Data Analysis