Kokoette‑Samuel James

Summary

●Designed and implemented an interactive symptom-checking application as part of an introductory AI project, translating theoretical concepts into a functional solution. ●Applied core machine learning and programming principles (data handling, basic modeling, and logic design) to solve a simulated health-tech problem. ●Strengthened proficiency in foundational AI/ML workflows, including data preprocessing, model reasoning, and evaluation of outputs.

Summary

●Business users lacked automation to manage repetitive cases and sales processes. Designed and deployed Salesforce Flows and Workflow Rules to streamline support case assignment and lead tracking. Reduced manual case handling by 40%, freeing up team members for higher-value tasks. ●Data inconsistencies led to reporting errors and poor campaign targeting. Implemented validation rules, data import best practices, and field-level security controls.Increased data quality and reporting accuracy by 30%, enabling more effective sales campaigns. ●Leadership lacked real-time visibility into performance metrics. Built custom reports and dashboards with filters for sales, service, and campaign KPIs. Empowered executives to make faster, data-driven decisions, improving team performance tracking.

Summary

● Applied AWS billing tools, auto-scaling, and cost-optimization strategies during hands-on labs. Reduced estimated cloud deployment expenses by 25%, ensuring scalable and cost-efficient solutions. ● Designed and tested secure architectures with IAM, VPC, and CloudWatch monitoring. Improved simulated system uptime to 99.9% and enhanced compliance with AWS security best practices. ● Led peer-learning squads, facilitating group projects and joint architecture reviews. Increased team efficiency by 40%, with all projects completed ahead of schedule and validated by technical mentors

Summary

●Configured a bucket to host the website and sync the source files using the AWS Command Line Interface ●Deployed the Lambda functions with .zip file archives through your Integrated Development Environment and tested as needed. ●Set up the web application frontend to use Amazon Cognito and API Gateway configurations and verified the entire application functionality.

Summary

● Built a demo for a more efficient way to enable a small business owner to compute total price of orders from a sales drive on WhatsApp and incorporate discounts using Microsoft Excel for accuracy and reliability ● Cleaned and transposed U.S census data to obtain the population size of various age groups by creating pivot tables in excel to provide a dynamic view of data and visual insights. ● Queried and manipulated marketing campaign data combining Excel functions, bubble charts and scorecards to determine the most profitable campaigns to inform inventory management strategy and increase revenue.

Summary

●Identified attendee pain points from prior Dreamforce events, developed personas, user stories, and wireframes to define app requirements, resulting in a mobile solution that reduced registration-related support tickets by 40%. ●Mapped end-to-end event processes and designed a KPI dashboard, enabling event managers to track session popularity, engagement, and adoption in real time, improving conference satisfaction scores by 20%. ●Collaborated with developers and stakeholders under tight deadlines, ensuring compliance with privacy regulations and completing app testing 90 days before launch, driving seamless adoption ahead of Dreamforce.

Summary

●Faced with messy text and incomplete location data, applied Excel formulas (INDEX+MATCH, CONCAT, TRIM) to enrich the dataset, improving usability for downstream analysis by 35%. ●Large datasets made it difficult to interpret demographic and sales insights. Applied statistical methods (standard deviation, distribution curves) and pivot-based visualizations for clarity. Reduced data interpretation time by 40%, enabling faster stakeholder decision-making. ●Managers needed a centralized tool to evaluate marketing and sales performance. Designed an interactive Tableau dashboard with filters for demographics and campaign metrics. Enhanced decision-making efficiency, supporting strategies projected to boost campaign ROI by 15%.