You will get a fantastic cleansed dataset and good interpretation using Python and R.
Project details
Driven by a passion for uncovering insights hidden within data, my project offers comprehensive data analysis and engineering solutions. Leveraging my unique blend of experiences in both mechanical engineering and data science, I provide a holistic approach to data-driven problem-solving. My services range from basic data cleaning and exploratory analysis to advanced predictive modeling and database design. What sets my project apart is my commitment to delivering tailored solutions that align with the specific needs and goals of each client. By combining rigorous data analysis with clear, actionable insights, I aim to empower clients to make informed decisions and drive their business forward.
Database Type
MySQL, MongoDBWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $75
Additional Revision
+$20About Jabed
Data Engineer
Bristol, United Kingdom - 1:07 am local time
My services include:
Data cleaning and preprocessing
Exploratory data analysis
Statistical analysis
Data visualization
Predictive modeling
SQL and NoSQL Database Management
ETL process
I am proficient in Python, R, SQL, and Data Management, and I use these tools to deliver high-quality work that meets your specific needs. I am also experienced in working with large datasets and can help you optimise your data storage and retrieval.
I am committed to delivering quality work on time and within budget. I am available to work on both short-term and long-term projects. Let’s work together to turn your data into insights!
Steps for completing your project
After purchasing the project, send requirements so Jabed can start the project.
Delivery time starts when Jabed receives requirements from you.
Jabed works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning
Description: The first step in any data analysis project is to clean and preprocess the data. This includes handling missing values, outliers, and any errors in the data.
Exploratory Data Analysis
Description: I will conduct an exploratory data analysis to understand the patterns and relationships in the data. This will involve creating visualizations and calculating descriptive statistics.