You will get an Automated Macroeconomic Data Pipeline (Python to .xlsx)
Project details
Relying on manual data entry and heavy .xlsm macros for macroeconomic analysis is a liability. It bottlenecks memory, triggers corporate firewalls, and drains analysts' time.
I build automated data pipelines specifically for quantitative analysis. By shifting the heavy lifting to a Python backend, I eliminate manual data gathering and deliver computationally efficient infrastructure.
The Architecture:
Backend (Python): Custom scripts and API integrations to extract, clean, and structure historical/real-time macro data, guaranteeing zero gaps.
Frontend (Clean .xlsx): The output operates strictly on native logic matrices (Boolean arrays, FILTER, SUMIFS). I do not deploy unnecessary VBA macros, ensuring the file is lightweight and seamlessly passes corporate security protocols.
Visual Output: Directive-format dashboards with a high data-ink ratio, strictly separated by mathematical units (Rates %, Capital $, Absolute Flow).
Stop paying analysts to copy-paste data. Open a chat to define your data sources and initialize the development environment today.
I build automated data pipelines specifically for quantitative analysis. By shifting the heavy lifting to a Python backend, I eliminate manual data gathering and deliver computationally efficient infrastructure.
The Architecture:
Backend (Python): Custom scripts and API integrations to extract, clean, and structure historical/real-time macro data, guaranteeing zero gaps.
Frontend (Clean .xlsx): The output operates strictly on native logic matrices (Boolean arrays, FILTER, SUMIFS). I do not deploy unnecessary VBA macros, ensuring the file is lightweight and seamlessly passes corporate security protocols.
Visual Output: Directive-format dashboards with a high data-ink ratio, strictly separated by mathematical units (Rates %, Capital $, Absolute Flow).
Stop paying analysts to copy-paste data. Open a chat to define your data sources and initialize the development environment today.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Pages Mined/Scraped | 0 | 0 | |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 3 |
About David Mauricio
Quantitative Financial Developer | Python & Excel VBA
Cuernavaca, Mexico - 8:52 pm local time
My focus is on developing quantitative models and end-to-end management systems that optimize capital allocation, assess risk, and eliminate administrative friction.
Core Competencies & Services:
Financial Modeling & Portfolio Optimization: Building advanced Excel (VBA) and Python-based tools to track wealth, simulate risk, and project returns.
Data Automation & Dashboards: Structuring complex databases and creating interactive, real-time operational dashboards that eliminate hours of manual work.
Quantitative Research: Delivering robust, deep-dive financial reports and sector analyses for independent advisors, funds, and businesses.
Technical Arsenal:
Python, Advanced Excel (Clean .xlsx Native Logic / Boolean Arrays), Backend VBA & Data Extraction.
Professional Certifications in Financial Analytics and Capital Markets Portfolio Investments.
Let's build the automated systems and quantitative models your business needs to scale. Send me a message to discuss your next project.
Steps for completing your project
After purchasing the project, send requirements so David Mauricio can start the project.
Delivery time starts when David Mauricio receives requirements from you.
David Mauricio works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Data Sourcing
Mapping of required macroeconomic variables, identification of API endpoints (e.g., FRED, Yahoo Finance), and definition of the mathematical logic for the final output.
Python Backend Architecture
Structuring the extraction script and data pipeline. Cleaning the time-series data to guarantee zero missing values and optimal memory allocation.