You will get cleaned, transformed, and analyzed data using Python and SQL
Project details
I bring real production experience to data cleaning and analysis. As a Data and AI Engineering Consultant, I built machine learning pipelines and data systems for actual clients, and I apply that same rigor to every project here: clean code, clear communication, and results you can trust and actually use.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$175
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $100
Additional Revision
+$20Frequently asked questions
About Gregory
Data & AI Engineer | SQL, Python, ML Pipelines & Data Analysis
Yuma, United States - 3:55 pm local time
I spent the last year working professionally as a Data and AI Engineering Consultant, where I built and evaluated machine learning systems for real clients, including:
- RAG (Retrieval-Augmented Generation) pipelines and LLM evaluation frameworks
- Production ML infrastructure using Azure ML, Docker, and Kubernetes
- Data cleaning, transformation, and ETL workflows in Python and SQL
- Model tracking and experiment management with MLflow
Before that, I studied Economics at Princeton, where my senior thesis involved building a custom analysis pipeline for a dataset of over 14 million records, which is the kind of large-scale, real-world data work that doesn't show up in a typical course.
I take on projects across a few core areas:
Data analysis & cleaning — turning raw, messy data into something you can actually use
SQL & database work — writing efficient queries, structuring data, building reporting workflows
Python automation — scripting repetitive workflows, building data pipelines, working with pandas/NumPy
Machine learning & AI — building, evaluating, and deploying ML models and LLM-based systems
I care about clear communication and delivering work that actually solves your problem, not just technically checking a box. If you're not sure exactly what you need yet, I'm happy to help scope the project before we start.
Steps for completing your project
After purchasing the project, send requirements so Gregory can start the project.
Delivery time starts when Gregory receives requirements from you.
Gregory works on your project following the steps below.
Revisions may occur after the delivery date.
Review your data and requirements
I'll review the dataset and any specific goals or questions you've shared to confirm scope and approach.
Clean and prepare the data
I'll remove errors, duplicates, and formatting issues, and structure the data so it's ready for analysis.