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I will do business time series analysis and forecasting with ml and dl
Data Scientist and AI specialist,Data Analyst
I am Saeed, MS-qualified Data Scientist from Air University Islamabad and a certified Data Analyst from IBM and Microsoft With 2 years of experience, i specialize in turning complex datasets into clea...
About this Gig
Need to predict the future? I will provide professional Time Series Analysis and Forecasting to transform your time-stamped data into accurate,actionable forecasts using state-of-the-art methods.
MY SERVICES INCLUDE:
- Sales & Revenue Forecasting
- Financial Market Analysis (Stocks,Crypto)
- Inventory & Demand Planning
- Website Traffic & KPI predictions
- Anomaly Detection in sensor Data
MY METHODOLOGY & SKILLS:
- Time series Analysis & Modeling: In-depth data exploration and model diagnostics.
- Machine Learning:Feature-based forecasting with XGBoost, Random Forest
- Deep Learning: Recurrent Neural Networks (LSTM, GRU) for complex patterns
- Probabilistic Forecasting: Predicting with confidence intervals for better risk assessment
- Tools: Python, Pandas, Statsmodels, Sktime, PyTorch/TensorFlow.
Why Choose Me?
- I combine a Data Scientist's expertise with a mathematician's precision. You get more than a model; you get a statistically sound, interpretable forecast tailored for your business success.
Let's unlock the patterns in your data. Order now to get started with expert Time Series Analysis!
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What information do you need from me to get started?
Your historical data in a CSV or Excel file. A clear definition of what you want to predict (e.g., "next month's sales"). The timestamp for each data point (e.g.,hourly, daily, monthly). Any relevant context about the data (e.g., known events, promotions).
Why is your mathematical background important for my project?
My foundation in mathematics means I understand the principles behind the models, not just how to run them. This allows me to properly diagnose issues, select the most statistically sound model for your data, and avoid common pitfalls, resulting in more reliable and accurate forecasts.
What's the difference between the ARIMA and Machine Learning models you offer?
This is a great question! ARIMA (Classical): Excellent for data with clear trends and seasonality. It's highly interpretable and often works well with smaller datasets. Machine/Deep Learning: Powerful for capturing complex, non-linear patterns and incorporating many different influencing factors.
How long does a typical forecasting project take?
The timeline depends on the data's complexity and the project scope. A basic analysis and forecast can often be delivered within 3-5 days. More complex projects involving deep learning or large datasets may take 7-10 days. I will always provide a clear timeline before we begin
What will I receive upon completion?
You will receive a comprehensive deliverable including: The final forecast values (in a CSV/Excel file). A clear, visual report with graphs and key insights. An explanation of the model used and its performance metrics. (For relevant packages) The Python script used for the analysis.
Do you offer support after the project is delivered?
Yes! I offer a standard [e.g., 7-day] period of post-delivery support to clarify any part of the report or findings. For ongoing needs, we can discuss a custom maintenance package.
My data is from the stock market. Can you guarantee profitable trades?
No. Financial markets are inherently unpredictable. My analysis provides data-driven insights based on historical patterns, but it is for informational purposes only and should not be considered financial advice.
What if my data isn't perfect or has missing values?
Don't worry! Data cleaning and pre-processing (including handling missing values) is a standard part of my service. We can discuss the state of your data during the initial requirements phase.
