You will get a Cleaned and Formatted Dataset Ready for Analysis or Modeling
Rising Talent
Project details
I’ll take your raw dataset (CSV, Excel, or database export) and deliver a clean, structured version ready for analysis, dashboards, or machine learning.
You’ll receive:
• A cleaned and formatted dataset
• Handling of duplicates, missing values, and inconsistencies
• Clear data types and standardized formats
• Optional Python or Excel script for ongoing use
Perfect for prepping data before reporting, visualization, or model training — because clean data is where it all starts.
You’ll receive:
• A cleaned and formatted dataset
• Handling of duplicates, missing values, and inconsistencies
• Clear data types and standardized formats
• Optional Python or Excel script for ongoing use
Perfect for prepping data before reporting, visualization, or model training — because clean data is where it all starts.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Python Script
+$25
Exploratory Data Analysis
(+ 1 Day)
+$45
Loom Video
(+ 1 Day)
+$40
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RL
Richard L.
Apr 30, 2026
Stop loss order for day trade at Thinkorswim
About Matt
15+ Years Software Engineer | Python&Node | DevOps | AI | Data Science
West Islip, United States - 2:04 pm local time
My journey started in data science & analytics, where I built Python tools to clean. process, and analyze complex datasets. While working with data pipelines and automation, I developed a strong interest in backend systems and cloud infrastructure, which led me to specialize in Python engineering and Cloud DevOps.
I now design and automate scalable AWS infrastructure using Python and Infrastructure as Code (IaC) to support modern application and data-driven systems.
I previously worked as an AWS Infrastructure & CDK Engineer at TrendzAct, where I designed and deployed production-grade cloud environments and automated provisioning using Python-based AWS CDK projects and AI-based applications.
Instead of manual setup, I focus on automated, repeatble, and secure infrastructure that allows teams to deploy faster and scale efficiently.
What I Can Help With
• Design scalable AWS cloud architectures
• Build Infrastructure as Code using Python and AWS CDK, Terraform, Kubernetes
• Automate deployment pipelines and cloud provisioning
• Design VPC networks, VPN connectivity, and secure cloud environments
• Migrate on-premise systems to AWS
• Deploy backend systems using Lambda, ECS, EC2, and API Gateway
• Optimize infrastructure for cost, scalability, and performance
Technologies & Tools
Programming
Python (Automation, Cloud Engineering, Data Science), .NET, Java, Node.js
Cloud Platforms
AWS • GCP • Azure
AWS Services
EC2 • Lambda • API Gateway • ECS • RDS • VPC • IAM • S3 • Cognito • CloudFront • SNS • SES • SQS • CloudWatch
Infrastructure as Code
Python CDK • Terraform • Kubernetes • SAM • Cloud Automation
Databases
MSSQL • MongoDB • SQL • Aurora • DynamoDB • MongoDB
Front End
React • Angular • Vue
Other Skills
Linux • Networking • Cloud Security • Solution Architecture, Zoho CRM, HubSpot, Mailchimp
AI
Claude • N8N • OpenAI • LLM
If you need AWS infrastructure automation, cloud migration or scalable backend systems, feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Matt can start the project.
Delivery time starts when Matt receives requirements from you.
Matt works on your project following the steps below.
Revisions may occur after the delivery date.
This project will include the following:
• Removing duplicates • Handling missing values • Fixing inconsistent formatting • Standardizing column types • Flagging outliers or anomalies • Delivering a cleaned dataset + summary report