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USD
I will build an econometric forecasting model to predict your market or sales
Financial Analyst Econometric Forecasting and Power BI
Financial analyst specialized in applied econometrics and business intelligence. I build forecasting models, Power BI dashboards, pricing tools, and controlling solutions used at a DAX40 industrial gr...
Informazioni su questo servizio
Most forecasts sold online are just trend extrapolations. They tell you where your numbers go not why. Useless when you need to defend a budget or set prices.
I build real econometric forecasting models. Multiple regression, tested against Gauss-Markov assumptions, calibrated on your data. You get:
- The drivers that actually explain your market
- Quantified impact of each driver (elasticities)
- Forecasts with confidence intervals
- Scenario simulations (best / base / worst case)
- Full documentation for your team
ABOUT ME
Financial analyst specialized in applied econometrics. My regression models are used at a DAX40 industrial group for market forecasting and budget planning, including tire markets.
Tools: Excel, Power BI, Power Query, Python, R.
IDEAL FOR
CFOs, controllers, pricing managers, sales directors, and consultants who need defensible, data-driven forecasts.
Message me before ordering. I sign NDAs for free and give precise quotes.
FAQ
What data do you need from me?
At minimum, 3 years of monthly historical data for the variable you want to forecast (sales, volume, market size...) and any internal data you suspect drives it. I will tell you what external data to add (macro indicators, sector data) during our initial discussion.
Do I need to be technical to use the deliverable?
No. The model is usable by non-technical stakeholders. The report explains results in business language. If you are technical, the Premium package also includes Python or R code for integration into your stack.
Can you work with confidential data?
Yes. I sign NDAs for free before any data exchange. Your data is handled securely and never shared. If your company requires a specific NDA template, send it to me and I will review and sign it before we start.
What if the model does not perform well on my data?
I validate every model against standard statistical tests (R squared, residual analysis, Gauss-Markov assumptions) before delivery. If the model does not reach a minimum explanatory power, I will explain why and tell you what additional data would be needed to improve it, or refund the order.
What industries have you worked with?
Automotive (tire market forecasting for trucks and passenger vehicles), industrial B2B pricing, and sector analysis across transport, real estate, construction, and macroeconomic indicators. The methodology applies to any market with historical data and identifiable drivers.
