You will get Professional Data Transformation for Accurate Business Insights.
Project details
As an expert in data cleaning and standardization, my project offers comprehensive solutions for businesses and individuals looking to improve the quality and accuracy of their datasets. With three tiers of service, ranging from basic cleaning to advanced techniques like fuzzy matching and outlier detection, clients can choose the level of support that best suits their needs. What sets my project apart is my attention to detail, use of cutting-edge tools and software, and commitment to providing exceptional customer service. Whether you have a small dataset or a large-scale project with complex needs, I have the skills and expertise to deliver high-quality results on time and within budget.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 2 | Unlimited | Unlimited |
Number of Pages Mined/Scraped | 10 | 100 | 1000 |
Number of Sources Mined/Scraped | 1 | 2 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $250
Additional Revision
+$25
Additional Source Mined/Scraped
(+ 1 Day)
+$50
Data visualization
(+ 2 Days)
+$100
Data analysis
(+ 1 Day)
+$100
Data enrichment
(+ 1 Day)
+$50Frequently asked questions
About Vinicius
Data Engineer | Data Science & Analytics | Python Developer
Rio de Janeiro, Brazil - 10:23 am local time
I am a highly skilled and results-driven Data Engineer, Data Scientist, and Python Developer with a strong track record of delivering impactful data solutions and analytics. My extensive expertise lies in gathering business requirements, architecting cloud solutions, and improving data accessibility. I have successfully developed, implemented, and monitored complex data pipelines for industry-leading companies. My key strengths include:
💻 Data Engineering: Proficient in Spark, SQL, Big Data, ETL processes, and API integration, with a proven track record of developing and maintaining over 20 data pipelines to ensure data integrity and accessibility.
📊 Data Science & Analytics: Experienced in Machine Learning, Data Mining, and Business Intelligence, excelling in creating data-driven strategies and impactful visualizations that drive informed decision-making processes.
🐍 Python Development: Skilled in leveraging Python for data processing, automation, and building robust data solutions.
Notable Achievements:
🌐 Developed a cloud-based data solution that significantly improved data accessibility and quality for big companies, benefiting multiple departments.
📈 Enhanced marketing and billing processes by correcting and enriching over 38,000 customer accounts, leading to substantial operational improvements.
🤖 Automated data extraction and transformation processes, reducing manual work by 75% and greatly enhancing efficiency.
Education:
🎓 MBA in Software Engineering and Data Science and Analytics from Universidade de São Paulo.
🎓 BSc in Energy Engineering from Universidade de Brasília, with a thesis utilized in voluntary data science work to combat COVID-19.
Certifications:
🏅 Prompt Engineering for Developers - DeepLearning.AI
🏅 Customer-Centric IT Strategy - University of Virginia
🏅 Microsoft Azure for Data Engineers - Microsoft
As a Top Rated Freelancer on Upwork with a 100% job success rate and a 5-star rating, I am dedicated to delivering high-quality results and exceeding client expectations. Let’s collaborate to drive your projects forward with data-driven insights and cutting-edge technology.
For more details and work samples, please check out my portfolio section.
Steps for completing your project
After purchasing the project, send requirements so Vinicius can start the project.
Delivery time starts when Vinicius receives requirements from you.
Vinicius works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Preparation
I will request the data and review it for completeness, consistency and format. I will merge multiple sources into one and handle special cases.
Data Cleaning and Standardization
Remove duplicates, fix errors, handle missing data, standardize formats, and resolve conflicts between data sources, such as by merging or prioritizing conflicting information