You will get Analysis Report & Causal Inference Visualization
Project details
As a Lead Data Strategist overseeing analytics for a large-scale data platform, I provide pragmatic, evidence-based insights tailored to your business context. This project focuses on robust time-series analysis using the SARIMAX model to help you understand the true drivers behind your metrics.
I will analyze your historical data to clearly separate and visualize underlying long-term trends and cyclical seasonality. By incorporating exogenous variables (such as specific promotions, pricing changes, or external factors), I will quantify exactly what impacts your target variables.
You will receive an executive-ready Google Slides report that identifies these key business drivers, providing a clear framework for how to think about and forecast future fluctuations. The fully transparent Python (.ipynb) source code is also included.
My 3-step workflow is 100% asynchronous and text-based, eliminating unnecessary meetings to ensure a clear written record and allowing me to dedicate focused "deep work" to your analysis.
I will analyze your historical data to clearly separate and visualize underlying long-term trends and cyclical seasonality. By incorporating exogenous variables (such as specific promotions, pricing changes, or external factors), I will quantify exactly what impacts your target variables.
You will receive an executive-ready Google Slides report that identifies these key business drivers, providing a clear framework for how to think about and forecast future fluctuations. The fully transparent Python (.ipynb) source code is also included.
My 3-step workflow is 100% asynchronous and text-based, eliminating unnecessary meetings to ensure a clear written record and allowing me to dedicate focused "deep work" to your analysis.
Machine Learning Tools
PythonWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 14 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Source Code
About Hisashi
Management Consulting & Analysis | Data Analysis Consultation
Yokohama, Japan - 8:21 pm local time
I lead the Data Strategy & Data Science departments at one of Japan's largest data platforms (managing 60M+ active members). With a strong background in global CRM SaaS consulting, my philosophy is simple: I deliver actionable business decisions, not just raw data. I go beyond executing requested queries to provide evidence-based insights that directly empower your marketing strategies.
Core Expertise:
Advanced Analytics: Causal Inference (Uplift/CausalImpact), Marketing Mix Modeling (MMM), Sales Forecasting Models.
CRM & Strategy: LTV optimization, loyalty programs, and executive-ready insight reporting.
Tech Stack: Snowflake, Databricks, Python, Advanced SQL, Tableau.
Working Style (Please Read):
100% Text-Based: To ensure perfect accuracy in technical requirements and avoid timezone bottlenecks, I strictly use text chat (Slack/Upwork/Tickets).
Asynchronous Focus: I dedicate my evenings and weekends (JST) to deep analytical work, acting as a highly autonomous partner who requires minimal micromanagement.
Disclaimer: All services are provided as an independent freelance consultant. My views and recommendations are strictly my own and do not represent my employer.
Steps for completing your project
After purchasing the project, send requirements so Hisashi can start the project.
Delivery time starts when Hisashi receives requirements from you.
Hisashi works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Scope Alignment
I will review your submitted CSV data to check for structural anomalies and confirm timezone settings. We will briefly align via text chat to ensure the data is viable for SARIMAX modeling before the deep analysis begins.
Time-Series Decomposition & Modeling
I will apply the model to your dataset, decomposing it into underlying trends, seasonality, and residuals. I will also integrate your exogenous variables to quantify their impact on your target metrics.