I will do predictive analytics and time series forecasting in python
About this Gig
In business, timing is everything. Whether you want to lower your inventory costs, prepare for sudden website traffic spikes, or predict next month's revenue, an accurate time series forecast gives you a major competitive advantage.
I provide accurate, data-driven forecasting backed by strong academic and professional expertise. I hold a data science certification from Harvard University and specialize in building high-accuracy predictive systems using advanced machine learning architectures.
Services offered
- Sales, revenue, and demand forecasting
- Machine learning modeling (XGBoost, Random Forest, LightGBM)
- Traditional time-series baselines (ARIMA, SARIMA, Prophet)
- Advanced feature engineering (Lag variables and rolling statistics)
- Deployed interactive web apps (Streamlit dashboards)
Why work with me
- Harvard certified in data science
- Strong machine learning foundation
- Proven pipeline development experience
- Clear communication and professional deliverables
Programming language:
Python
Frameworks:
Scikit-learn
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Panda
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Other
APIs:
Other
Tools:
Jupyter Notebook
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TensorFlow
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Colab
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Other
FAQ
What do I need to provide to get started?
You need to provide your historical dataset (CSV, Excel, or SQL database) and a clear explanation of what specific variable you want to forecast (e.g., daily sales, hourly traffic) and how far into the future you want to predict.
Can you work with missing data or irregular time intervals?
Yes! Part of my data preprocessing workflow involves handling missing data.
