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Below you’ll find my analytics and AI-driven projects focused on financial risk management, fraud detection, and business analytics. Each project integrates real U.S. datasets, including FTC, FBI, FDIC, and BLS data, visualized through Power BI and Python frameworks.
Below you’ll find my analytics and AI-driven projects focused on financial risk management, fraud detection, and business analytics. Each project integrates real U.S. datasets, including FTC, FBI, FDIC, and BLS data, visualized through Power BI and Python frameworks.
AI, Data & Machine Learning Projects
AI, Data & Machine Learning Projects
NLP Project
NLP Project
Fighting Misinformation with Data & NLP (Midwestern State University, 2024)
Built a fake news detection model using NLP (NLTK, TF-IDF, Decision Tree).
Cleaned and processed 44,000+ news articles to classify real vs. fake content.
Visualized word clouds, confusion matrices, and class distributions.
Tech: Python, Pandas, Scikit-Learn, Matplotlib, Seaborn.
View Full Project on LinkedIn: Demonstrates NLP-driven fake news detection using Python, NLTK, and machine learning for trustworthy media insights.
Business Failure Prediction
Business Failure Prediction
Business Failure Prediction Dashboard (FDIC + BLS Data)
Created an AI-powered model combining XGBoost + Random Forest to forecast business failures.
Visualized U.S. bank failures and economic resilience trends (2000–2024).
Tech: Python, Power BI, Machine Learning, Data Visualization.
🔗 View Code & Dashboard on GitHub : Explore the AI-powered predictive analytics model analyzing U.S. business failures (2000–2024).
Fraud & Cybercrime Reports
Fraud & Cybercrime Reports
Fraud & Cybercrime Reports Analysis (2020–2024)
Integrated FTC Consumer Sentinel & FBI IC3 data in Power BI + Python.
Uncovered nationwide fraud loss patterns and consumer protection insights.
Tech: Power BI, Python, Excel, Analytical Skills.
🔗 View Code & Dashboard on GitHub:Power BI + Python analysis uncovering fraud losses and cybercrime trends across U.S. states (2020–2024).
Analytics & Visualization Dashboards
Analytics & Visualization Dashboards
Exploring Car Market Insights with Power BI (2025)
Analyzed car prices, mileage, and fuel types to reveal consumer trends.
Highlighted tax & fuel efficiency patterns; visualized with Power BI.
Tech: Power BI, SQL, Excel, DAX.
View Project on LinkedIn: Power BI dashboard visualizing car prices, mileage, and fuel efficiency trends across brands.
Uncovering Retail Buying Trends to Drive Smarter Business Decisions (2024)
SQL-based retail analytics uncovering customer behavior patterns.
Segmented customers, identified loyalty drivers, and ranked top categories.
Tech: SQL, Data Storytelling, Business Analytics.
View Project on LinkedIn: SQL-based retail analytics revealing customer segmentation, loyalty behavior, and purchase trends.
Uncovering Workforce Trends to Support HR Decisions (2025)
Built HR Analytics Dashboard (Tableau) analyzing hiring, termination, and pay trends.
Showed gender & education-wise salary distribution.
Tech: Tableau, Excel, Data Visualization.
View Project on LinkedIn: Tableau HR analytics dashboard exploring hiring patterns, salary gaps, and diversity insights.
Uncovering Sales & Customer Trends to Drive Restaurant Decisions (2025)
Designed Power BI dashboard analyzing restaurant sales performance.
Visualized peak months, order values, and revenue breakdowns.
Tech: Power BI, Excel, Storytelling.
View Project on LinkedIn: Power BI dashboard analyzing restaurant sales, customer behavior, and revenue performance metrics.
Policy & Optimization Analytics
Policy & Optimization Analytics
Optimizing Water Resource Management with Prescriptive Analytics (MSU, 2024)
Developed a linear-programming model (Excel Solver) for resource allocation.
Balanced cost & demand under municipal constraints.
Tech: Excel Solver, Optimization, Decision Modeling.
View Project on LinkedIn Excel Solver optimization model balancing cost, demand, and quality for municipal water systems.
Public Financial Management System in Bangladesh (East West University, 2020)
Capstone analyzing Bangladesh’s PFM system using PEFA framework.
Recommended reforms for transparency & governance.
Tech: Policy Analysis, Data Interpretation, Governance Metrics.
View Project on LinkedIn Undergraduate capstone benchmarking Bangladesh’s PFM system using the PEFA framework to strengthen transparency.
Reducing Road Accidents with Data-Driven Insights (MSU, 2024)
Built Tableau dashboard analyzing Brazil’s accident data (2021–22).
Identified high-risk regions & causes via variance analysis.
Tech: Tableau, Excel, Visualization.
View Project on LinkedIn: ableau dashboard uncovering regional accident causes and patterns to inform public-safety policies.
© 2025 Dipon Das Rahul | AI & Financial Analytics Research
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