Zeeshan Raza

• Maintenance and optimization of data pipelines for AI and machine learning projects. • Collaboration with cross-functional teams to improve data quality and workflow efficiency. • Application of Large Language Models (LLMs) for multimodal solutions (text, image, audio, and video). • Support in data warehousing, ETL/ELT processes, and analytics automation. • Development of dashboards and visualizations to communicate insights to stakeholders. • Contribution to cloud computing initiatives using AWS infrastructure and best practices. • Maintenance of project documentation and quality assurance standards for data integrity. • Assistance in AI model fine-tuning and prompt optimization for enterprise use cases.

Research Planning: Develop comprehensive research plans outlining the objectives, methodologies, and timelines for each project. Data Collection: Utilize various research methods, including surveys, interviews, and data mining, to gather relevant information. Data Analysis: Employ advanced analytical tools and techniques to interpret complex datasets and extract meaningful patterns and trends. Competitor Analysis: Monitor and analyze competitor activities, market share, and positioning to identify potential opportunities and threats. Reporting: Prepare detailed and insightful reports that communicate research findings, trends, and recommendations to key stakeholders.

Designing and executing qualitative and quantitative market research studies, including focus groups, surveys, interviews, and field tests. • Analysing data using statistical software and techniques to identify trends, patterns, and relationships. • Summarizing research findings and creating data visualizations, presentations, and reports to communicate actionable insights. • Making recommendations for marketing, product development, and sales strategies based on research conclusions. • Monitoring industry trends, competitive landscape, and consumer behaviours through research studies. • Collaborating with cross-functional teams including product, sales, marketing to align research efforts to business goals. • Staying up-to-date on market research methodologies and data analytics best practices. • Identifying opportunities to improve existing products and services based on voice of customer data. • Presenting research results to key stakeholders across the organization. • Managing multiple research projects simultaneously from conception through delivery.

Play a key role in production, Engineering & Maintenance, Logistics, Packaging & Dispatch and manufacturing. processes for new products. Manage Supply chain of Logistics. Worked with journeymen to complete daily tasks. Assisted in the installation of new equipment. Helped to troubleshoot issues with existing machinery.