You will get data science, machine learning and time series analysis in python
Project details
Welcome to my profile,
I am Wahaj Raza a certified Data Scientist and I can help you with time series analysis project in python. Here is what I offer :
Data Analysis
Exploratory Data Analysis
Data wrangling
Data visualization
Data transformation
Data insights
ARIMA models
LSTM model
FB Prophet
XG Boost
Classification models
Linear and Multiple regression
Evaluation Matrix
Data Forecasting
The software used for the implementation
Jupyter Notebook
Colab
Python
Excel
I am Wahaj Raza a certified Data Scientist and I can help you with time series analysis project in python. Here is what I offer :
Data Analysis
Exploratory Data Analysis
Data wrangling
Data visualization
Data transformation
Data insights
ARIMA models
LSTM model
FB Prophet
XG Boost
Classification models
Linear and Multiple regression
Evaluation Matrix
Data Forecasting
The software used for the implementation
Jupyter Notebook
Colab
Python
Excel
What's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 days |
Number of Revisions | 2 | 2 | 2 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
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AM
Angus M.
Feb 17, 2026
Asset Class Forecasts
MM
Mateusz M.
Apr 10, 2025
60 minute consultation
Good consultation. I am ready to start working with Wahaj
LK
Louis K.
May 14, 2024
Regression analysis in Python
AF
Adnan F.
Sep 11, 2023
Data Entry (Flexible Hours) - Application Deadline - September 8, 9AM GMT
EL
Elizabeth L.
Dec 15, 2022
Train a Simple Pricing Model
Wahaj completed the job before the deadline, and communicated well throughout.
About Wahaj
Demand Forecasting | Inventory Planning |Time Series Analysis
100%
Job Success
Peshawar, Pakistan - 8:59 am local time
Core Services:
Time Series Analysis & Time Series Forecasting — trend decomposition, seasonality detection, stationarity testing, autocorrelation analysis
Demand Forecasting & Demand Planning — SKU-level, category-level, and aggregate forecasts for inventory and supply chain teams
Inventory Management, Inventory Planning & Inventory Forecasting — reduce stockouts, minimize overstock, optimize reorder points and safety stock
Exploratory Data Analysis (EDA) — data profiling, outlier detection, missing value treatment, correlation analysis
Predictive Modeling & Machine Learning Forecasting:
ARIMA / SARIMA / SARIMAX models for stable, stationary demand series
Facebook Prophet for seasonality-heavy, holiday-driven, and trend-shifting SKUs
XGBoost / Gradient Boosting for feature-rich forecasting incorporating price, promotions, and external drivers
LSTM & Neural Networks (Deep Learning) for complex, long-range, non-linear demand patterns
Ensemble and hybrid forecasting models for improved accuracy
Data Visualization & Dashboard Development — interactive dashboards using Plotly, Streamlit, and Dash for forecast monitoring, KPI tracking, and business intelligence
Data Automation & Web Scraping — automated data collection, ETL pipelines, scheduled model retraining, and real-time data feeds
Statistical Analysis & Data Analytics — hypothesis testing, regression analysis, error metrics (MAPE, RMSE, WAPE, MAE) for forecast accuracy validation
Industries I Serve: E-commerce, retail, CPG, manufacturing, supply chain & logistics, wholesale distribution
Tools & Tech Stack: Python, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Prophet, Statsmodels, XGBoost, Plotly, Streamlit, SQL, Power BI/Tableau (optional integration)
Send your SKU sales history and I'll recommend the best forecasting approach along with expected accuracy.
Steps for completing your project
After purchasing the project, send requirements so Wahaj can start the project.
Delivery time starts when Wahaj receives requirements from you.
Wahaj works on your project following the steps below.
Revisions may occur after the delivery date.
The client sent the requirement in a doc file
In this step, the client needs to send me the proper job requirements
Implementation of job
In this step, I have to implement the models and the required tasks.