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Fiverr Pro
English
$
USD
I will forecast your ecommerce sales and demand using advanced analytics
Financial Data Scientist, Generative Ai, Financial Engineer
I'm a Data Scientist, Financial Engineer and Data analytics professional with 5+ years of experience working in data science and finance industry. With MBA & BBA in finance, I bring unique perspective...
About this Gig
Have you ever stared at your historical sales / usage data, wondering What will next month look like? Or How much stock do I need in three months? Forecasting is powerful, but only when models are built right.
I'm a data scientist who has helped companies predict demand, optimize inventory, and anticipate seasonality & anomalies using tools like ARIMA, Prophet, LSTM, and more. I combine rigorous preprocessing + feature engineering + model comparison to deliver forecasts that you can trust.
Imagine confidently planning your budget, preventing stock outs, saving on over-stock costs, or knowing when demand will spike. With clean data, multiple models tested, and visual dashboards, you'll see not just what but why things happen, enabling smarter business choices.
Let's get started. Pick the package that matches your needs, or message me if your scenario is special. I'll deliver a forecast, visuals, and a plan you can act on. Order now and take the uncertainty out of your planning.
Programming language:
Python
•
SQL
•
Colab
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
My Portfolio
FAQ
What kind of data do I need to provide?
You’ll need historical data with a timestamp (daily/weekly/monthly etc.), ideally clean, but I can do cleaning if needed. More data = better. Let me know what variables you have (sales, promotions, holidays, etc.).
Which forecasting models do you use, and how do you choose?
I’ll typically compare statistical models (ARIMA, SARIMA, Exponential Smoothing), time series tools like Prophet, and sometimes ML / deep learning (LSTM etc.) depending on data volume and complexity. Choice is driven by accuracy, interpretability, and how well the model fits your business needs.
How accurate will the forecast be?
Cannot promise perfect accuracy (no one can) but I aim for minimizing error metrics (MAE, RMSE, MAPE etc.). Accuracy depends on data quality, how many past periods you have, number of influencing variables, and how far ahead you forecast.
