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Nederlands
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I will do time series forecasting sales demand forecasting and analysis
Expert AI and ML Solutions, Fine Tuning, Predictions and More!
I’m Kamran Ullah Afaq, an experienced AI & Machine Learning Engineer specializing in fine-tuning models, predictive analytics, and NLP solutions. I help businesses and individuals build powerful AI mo...
Over deze dienst
I will provide professional time series analysis, forecasting, sales forecasting, demand forecasting, revenue prediction, trend analysis, and anomaly detection using Python and modern data science tools. If you have business sales data, inventory data, stock data, demand data, financial data, website traffic, sensor data, or monthly/daily records, I can help you analyze patterns and predict future values.
My services include data cleaning, time series preprocessing, trend and seasonality analysis, forecasting model development, demand planning, sales prediction, revenue forecasting, stock price analysis, anomaly detection, model evaluation, visualization, and forecasting reports.
I work with Python, pandas, NumPy, scikit-learn, statsmodels, ARIMA, SARIMA, Prophet, XGBoost, LSTM, GRU, TensorFlow, PyTorch, Excel, Power BI, and Tableau depending on your project requirements.
You will receive clean source code, forecast charts, performance metrics, clear explanation, and a professional report or notebook.
Please contact me before placing an order to discuss your dataset, forecasting goal, timeline, and the best package.
Andere Data science en ML diensten die ik aanbied
Veelgestelde vragen
Do you need my dataset for time series forecasting?
Yes, I will usually need your historical dataset for forecasting, trend analysis, sales forecasting, demand forecasting, or anomaly detection. You can share data in CSV, Excel, Google Sheets, or database export format.
What type of forecasting projects can you handle?
I can work on sales forecasting, demand forecasting, revenue prediction, stock price analysis, inventory forecasting, website traffic prediction, financial forecasting, energy forecasting, and business trend analysis.
Which tools and models do you use for time series analysis?
I use Python, pandas, NumPy, scikit-learn, statsmodels, ARIMA, SARIMA, Prophet, XGBoost, LSTM, GRU, TensorFlow, PyTorch, Excel, Power BI, and Tableau depending on your project needs.
Can you provide charts and a forecasting report?
Yes, I can provide forecast charts, trend and seasonality analysis, model evaluation metrics, clean source code, Jupyter Notebook, Excel output, and a professional forecasting report.
Can you build an advanced forecasting model for my business?
Yes, I can build advanced forecasting models using machine learning, deep learning, Prophet, ARIMA, SARIMA, XGBoost, LSTM, or GRU for business sales, demand planning, revenue forecasting, and anomaly detection.
