Data · Business Intelligence · AI · Finance
Tchomtchi KamgangDaniel Merlys
Business Intelligence master's student (M1). I build data tools (analysis, automation, control, reporting) starting from real business problems, mostly in finance: payment systems, banking, microfinance.
Open to a first job or a paid internship.Cameroon
- Latest experience
- BEAC · DSMPData internship, June to August 2026
- Featured project
- DANCompleted prototype
01Featured project
DAN
Completed prototypeA payment systems monitoring application, designed to automate and structure part of the off-site oversight of CEMAC payment systems and means of payment.
From problem to decision
- 01Business problem
- 02Data
- 03Processing
- 04Control logic
- 05Indicators
- 06Reporting
- 07Decision
- Finance
- Automation
- Data
- BI
Project connected to an internship at the BEAC. The version shown here is a public demo: data, risk mapping, report templates and logos are synthetic. No real transaction, participant or institutional data is included.
02Projects
From business problems to concrete tools.
Each project starts from a business problem and describes the data used, the solution built and its limits.
- 01
Payroll management
Teacher payroll application for schools in Cameroon: from the monthly Excel workbook to payslips and accounting exports.
Version 1.8.0- Automation
- Data
- Finance
Python · Streamlit · SQLite · pandas
- 02
Payment statistics consolidator
A local application that consolidates payment statistics workbooks in Excel, computes indicators by CEMAC country and produces ready-to-analyse exports.
Tested local application- Finance
- Data
- Automation
- BI
Python 3.11 · Streamlit · pandas · openpyxl
03Data Lab
Machine Learning, learned by building.
Machine Learning experiments and data analyses, published with their code and their limits.
- ExperimentCredit card fraud detectionExploration of an extremely imbalanced transactions dataset, comparing resampling techniques and classification models to detect fraud.Python · scikit-learn · imbalanced-learn
- AnalysisCensus income predictionPredicting whether income exceeds 50,000 USD: data exploration, training and comparison of six models, then prediction from a form.Python · scikit-learn · pandas
- ExperimentStudent depression risk scoreA Streamlit app that estimates a 0 to 100 % risk score from lifestyle and academic factors, using a random forest.Python · scikit-learn · pandas
04Background
Quantitative training, financial institutions.
Training in quantitative methods and business intelligence, experience in financial institutions.
Experience
June to August 2026
BEAC
Bank of Central African States, Payment Systems and Means of Payment Department (DSMP)
Data / Payment Systems and Means of Payment Intern · Internship
Related project: DAN
July to August 2025
Africa Finance
Formerly EIA Microfinance
Intern · Internship
July to August 2024
Afriland First Bank
Intern · Internship
Activities & awards
January 2026
Startup Weekend IUSJ 2026
Health Care project
Participant, technical lead · First prize
2025
Business Game IUSJ 2025
Participant
Education
Since 2026
Master's degree in Business Intelligence, year 1
Institut Universitaire Saint Jean du Cameroun (IUSJ)
In progress
2023 to 2026
Bachelor's degree in Management and Quantitative Techniques
Institut Universitaire Saint Jean du Cameroun (IUSJ)
Thesis defended with “Excellent” distinction, September 2026
2023
Baccalauréat C (mathematics and physical sciences)
Lycée bilingue de Mimboman
Completed
05Skills
Skills by field.
Grouped by field, with no self-rated levels. When a skill was used in a project or an experience shown here, the reference is given.
Data & Business Intelligence
- Data analysisUsed in Payment statistics consolidator, BEAC
- KPIs & dashboardsUsed in DAN, Payment statistics consolidator, BEAC
- Data preprocessingUsed in Credit card fraud detection, Census income prediction
- Data visualizationUsed in DAN, Payment statistics consolidator
- Feature engineering
- Automated reporting (Word, PDF, Excel)Used in DAN, Payroll management, Payment statistics consolidator
Programming & Data
- PythonUsed in DAN, Payroll management, Payment statistics consolidator +1
- pandasUsed in DAN, Payroll management, Payment statistics consolidator +1
- NumPyUsed in DAN, BEAC
- scikit-learnUsed in Credit card fraud detection, Census income prediction, Student depression risk score
- Matplotlib · PlotlyUsed in DAN, Payment statistics consolidator, Credit card fraud detection
- SQLUsed in Payroll management
- ExcelUsed in DAN, Payroll management, Payment statistics consolidator
Machine Learning
- ClassificationUsed in Credit card fraud detection, Census income prediction
- RegressionUsed in Student depression risk score
- Imbalanced dataUsed in Credit card fraud detection
- Model evaluationUsed in Credit card fraud detection, Census income prediction
- Anomaly detectionUsed in Credit card fraud detection
- Time series
Artificial Intelligence
Finance & payments
- Payment systems (SYGMA, SYSTAC, SWIFT)Used in DAN, BEAC
- Off-site oversightUsed in DAN, BEAC
- Payment statisticsUsed in Payment statistics consolidator
- Payroll and accounting statementsUsed in Payroll management
- Banking operationsUsed in Afriland First Bank, Africa Finance
Applications & quality
- StreamlitUsed in DAN, Payroll management, Payment statistics consolidator +1
- SQLiteUsed in Payroll management, BEAC
- Automated testing (pytest)Used in DAN, Payroll management, Payment statistics consolidator
- Continuous integration (GitHub Actions)Used in DAN, Payroll management, Payment statistics consolidator
- Git / GitHub
- Microsoft Excel, Word, PowerPoint
06Contact
Open to a first job or a paid internship.
Email is the simplest way to reach me. My work is available on GitHub.