BSDr. Bahram Sadeghi Bigham

PROBLEM, METHOD, OUTCOME

Projects and Implementation Areas

Documented case studies are clearly separated from future implementation opportunities, while organizational identities remain confidential.

Documented Case Studies

Medical AI

01

Intelligent Mammography Analysis Assistant

Image processing, feature extraction, and machine learning for diagnostic decision support.

Business Intelligence

02

Data-Driven Decision Framework for Industry

KPI definition and analytics connecting management, data, and operations.

Robotics and Algorithms

03

Robot Motion Planning in Complex Environments

Path-planning algorithms based on computational geometry and intelligent methods.

Professional Education

04

AI for Accounting and Finance

A structured program from foundations and algorithmic thinking to prompts, ML, and data science.

FUTURE COLLABORATION CAPABILITIES

Projects That Can Be Designed for Organizations

These are proposed collaboration areas and do not imply that every item has previously been delivered. Scope is defined after reviewing organizational data, processes, and needs.

Business Intelligence Dashboards

KPI design, integrated reporting, board dashboards, and management alerts.

Factory Production Planning

Order forecasting, capacity planning, line scheduling, inventory control, and downtime reduction.

AI for Sales and Marketing

Customer segmentation, sales forecasting, churn analysis, recommendations, and campaign measurement.

Finance and Cash Flow

Receivable and payment forecasting, budget variance, anomaly detection, and executive reporting.

Supply Chain and Procurement

Demand forecasting, reorder points, supplier assessment, and logistics cost analytics.

Workforce Analytics

Retention, productivity, learning, pay equity, and human-capital dashboards.

Predictive Maintenance

Failure analytics, service prioritization, equipment health, and unplanned downtime reduction.

Intelligent Quality Control

Defect detection with data and images, root-cause analytics, and quality prediction.

Process Mining

Discovering real processes, bottlenecks, rework, and automation opportunities.

Organizational Knowledge Systems

Secure internal search, assistants, and retrieval across technical and management documents.

Risk, Fraud, and Compliance

Anomaly detection, risk scoring, and prioritization for human review.

Organizational AI Roadmap

Readiness assessment, project prioritization, data requirements, and phased implementation.

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