Services
Analytical systems designed to improve business decisions.
My work focuses on building rigorous decision systems that help companies operate with greater control, efficiency and clarity — through forecasting, optimization, machine learning, automation and advanced analytical modeling.
What I build
Forecasting is the foundation of any serious planning operation. I build systems that predict future demand, sales and operational volumes using statistical models, machine learning and time-series analysis — properly calibrated for your specific business context, with uncertainty quantification built in.
Use cases
- Demand forecasting for inventory and replenishment
- Sales forecasting for financial planning
- Operational volume forecasting for workforce planning
- Scenario analysis and what-if modeling
What you get
- Production-ready forecasting pipeline
- Prediction intervals and uncertainty quantification
- Model documentation and retraining schedule
- Integration with existing ERP/planning tools
Business problems solved
- Persistent stockouts or excess inventory
- Inaccurate financial planning due to poor sales predictions
- Manual, time-consuming demand planning processes
- No visibility into future operational requirements
Optimization is about finding the best possible decision given your constraints. I build mathematical models that systematically find optimal solutions for pricing, resource allocation, route planning and operational efficiency — moving beyond heuristics and manual rules to rigorous, provable improvement.
Use cases
- Pricing optimization and dynamic pricing models
- Route and logistics optimization
- Inventory and replenishment optimization
- Resource allocation and scheduling
What you get
- Optimization model with documented objective and constraints
- Decision support interface or API
- Sensitivity analysis and scenario testing tools
- Benchmark comparison vs. current approach
Business problems solved
- Suboptimal pricing leaving revenue on the table
- Inefficient routing or resource allocation
- Manual scheduling that ignores operational constraints
- High operational costs with no systematic approach to reduction
Machine learning, applied thoughtfully, is a genuine source of competitive advantage. I build predictive systems designed for real deployment — with rigorous feature engineering, proper validation methodology, and explainability that allows business users to trust and understand the model's recommendations.
Use cases
- Customer churn prediction and retention modeling
- Credit and risk scoring models
- Anomaly detection and quality control
- Customer segmentation and lifetime value modeling
What you get
- Production-ready ML model with documented performance
- Explainability report (feature importance, SHAP values)
- Model monitoring and retraining framework
- API or integration with existing systems
Business problems solved
- High customer churn with no early-warning system
- Credit decisions based on rules of thumb rather than data
- Quality control processes that miss defects or anomalies
- Inability to identify which customers are most likely to convert
Many analytical processes that are currently manual, slow and error-prone can be systematically automated. I build data pipelines, automated reporting systems and operational monitoring dashboards that reduce manual work, eliminate errors and give decision-makers the right information at the right time.
Use cases
- Automated reporting and business intelligence pipelines
- KPI monitoring and alerting systems
- Data transformation and enrichment pipelines
- Operational dashboards for management and operations
What you get
- Automated data pipeline with documentation
- Scheduled reporting system
- Monitoring dashboard with alert thresholds
- Data quality checks and validation rules
Business problems solved
- Hours spent weekly on manual report generation
- Decisions made with outdated or inconsistent data
- No systematic monitoring of key operational metrics
- Fragmented data spread across multiple disconnected systems
The most impactful analytical work happens when forecasting, optimization and machine learning are combined into a coherent decision system — one that provides the right information, in the right form, at the right time, to support the decisions that matter most to the business. I design and build these integrated systems end-to-end.
Use cases
- Integrated demand forecasting and inventory optimization
- Dynamic pricing with demand prediction
- Risk-adjusted portfolio management systems
- Real-time operational decision support dashboards
What you get
- End-to-end system architecture and documentation
- Integrated data pipeline from source to decision
- User interface or API for operational use
- Ongoing maintenance and support protocol
Business problems solved
- Disconnected analytical tools that don't talk to each other
- Decisions made without a clear, systematic analytical process
- Analytical outputs that aren't connected to operational workflows
- Multiple point solutions that create more complexity than value
Capabilities
Technical depth aligned with business reality.
Statistical Modeling
Strong mathematical and statistical foundations for robust, interpretable business models.
Reinforcement Learning
Advanced decision approaches for sequential optimization and adaptive systems.
Database & Data Systems
Structured systems for storing, transforming and serving data for analytical use.
LLM & AI Applications
Practical AI systems integrated into real business workflows and decision processes.
Which service is right for you?
Match your problem to the right approach.
You need to predict future demand, sales or operational volumes
→ Forecasting
You need to allocate resources, set prices or improve operational efficiency
→ Optimization
You need a predictive model that learns patterns from historical data
→ Machine Learning
You need to automate reports, pipelines or operational workflows
→ Analytics Automation
You need a unified system that combines multiple analytical components
→ Decision Systems
Next step
Choose the problem that matters most, and solve it properly.
If your company needs a stronger forecasting system, more rigorous optimization logic or better analytical automation, we can define the problem and build the right solution.