I will build financial forecasting models and backtesting frameworks
ML and Data Science Expert: Data Wrangling, Analaysis, Vizualisations
About this Gig
Hi !
I'm a Data Scientist who specialises in Finance.
I like building models that find insights throughout a historical timeline, and optimise for forecasting models. My strategy is a deep examination of time-series and backtesting to develop develop reliable forecasting and predictive models.
This project is about building a forecasting model or backtesting framework that wins your trust and adds value to your systems.
I will:
- Thoroughly talk through your forecasting goal and data.
- Clean and structure your historical or time-series data.
- Build a model suited to your data (ARIMA, LSTM, Prophet, etc.)
- Backtest with appropriate walk-forward validation.
- Report the metrics and explain all insights, including where the model works and where it isn't reliable.
- Deliver documented code, or a deployed pipeline.
Aligned to your goal of forecasting demand, revenue, or a trading strategy, I'll explain the model with each possibility and its limitations.
Message me with your data and goal to discuss all details of the project.
Programming language:
Python
•
SQL
•
NoSQL
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
•
Keras
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
Other Data Science & ML Services I Offer
FAQ
What kind of forecasting can you help with?
Demand, Revenue, Sales, Macro Indicators, and Trading Strategy Backtesting.
What data do you need from me?
Historical time-series data, consistent and detailed (daily/weekly/monthly).

