You will get data sources gathered into only one repository
Project details
Through this project you can join several data files of different formats in a destination file or database so that the data is consolidated in a single repository.
Data sources can be files in various formats (Excel, Google Sheet, .CSV, .TXT, Powerpoint, PDF and others.
The destination of the data can be a file in one of these formats or even a database such as Oracle, MySQL, or Microsoft SQL Server.
This can be useful for small projects such as consolidating your contact list into a single updated address book that takes data from several other address books builted in the past. It can also be useful for consolidating a contact base of current or potential clients with data from various files or data sources, for example.
Please do not hesitate to ask any questions and place your order now.
Data sources can be files in various formats (Excel, Google Sheet, .CSV, .TXT, Powerpoint, PDF and others.
The destination of the data can be a file in one of these formats or even a database such as Oracle, MySQL, or Microsoft SQL Server.
This can be useful for small projects such as consolidating your contact list into a single updated address book that takes data from several other address books builted in the past. It can also be useful for consolidating a contact base of current or potential clients with data from various files or data sources, for example.
Please do not hesitate to ask any questions and place your order now.
Data Tool
pandasWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 5 days |
Number of Revisions | 2 | 3 | 5 |
Number of Sources Mined/Scraped | 2 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $250
Additional Revision
+$20
Additional Source Mined/Scraped
(+ 1 Day)
+$30About Daniel
Data Analyst
Mendoza, Argentina - 12:43 pm local time
I like working with KPIs, dashboards, statistical analysis and machine learning, as some tools to communicate and implement innovative solutions.
Services:
My services cover tasks related to:
Data Collection, Consolidation and Preprocessing. (CPR)
Extract, Transform and Load Data for specific projects. (ETL)
Designing charts, visualizations, reports, presentations. (VIZ)
Power Query, Power BI, Tableau
Python (Pandas, Matplotlib, Seaborn...)
Statistical Analysis and Machine Learning
My Purpose
Currently, with my years of experience and current certifications, I want to dedicate myself to
help other people (entrepreneurs, companies and corporations)
solve your operational and strategic problems. And at the same time I want to grow by learning from other people, companies, industries and cultures.
Service level agreement
My general proposal with clients has the following points:
1. Clear understanding of what the problem to be solved is.
2. Choose the best option to solve it and
3. Build a sample.
4. Have customer feedback.
5. Build the definitive solution.
6. Obtain a general rating of my work for my continuous improvement.
Experience:
I have years of experience in business analysis and development as well as in on-going business operations.
* Business planning
* Business analysis
* Products Development,
* Design Thinking.
* Retail and wholesale balance, operation and administration.
* Technology Business Challenges.
* Consulting in both public and private administration.
* Income, OpEx and CapEx budgets.
* Business Models and Migration Value.
* Recruiting, Team building.
* Start Ups.
I want to help others achieve their goals.
I hope to be helpful!
Thank you for reading these lines!!
Steps for completing your project
After purchasing the project, send requirements so Daniel can start the project.
Delivery time starts when Daniel receives requirements from you.
Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Set the objective
Based on what are your data consolidation needs. Your goal must be clear. This must be in writing. For a simple example, Combine files with differing column structures, including separating entries where first names, last names, and titles ...
Set the consolidation details, for example...
For example, the consolidated file mus have: Main columns: Title(Dr., M. Ms. -might be empty), First name, Last name, email, phone number (may be empty), source file.... All of this, depending on the case.