You will get "Data Cleaning & Transformation for Actionable Insights"
Project details
Are you struggling with messy, unstructured, or inconsistent data? I specialize in data cleaning and transformation, ensuring your dataset is accurate, well-structured, and ready for analysis. Using Python (Pandas, NumPy) and SQL, I will remove duplicates, handle missing values, fix formatting issues, and optimize your data for actionable insights. Whether you need basic cleaning or advanced transformation, I’ve got you covered!
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$12
|
Advanced
$14
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | Unlimited |
Frequently asked questions
About Khushi
Data Analyst
Delhi, India - 11:44 pm local time
🔹 Predictive Analysis of Student Performance – Built a model using regression and classification techniques to forecast student success based on academic and socio-economic factors.
🔹 Predictive Maintenance for Industrial Equipment – Applied deep learning models (LSTM, CNN) to time-series data to predict machine failures, enhancing reliability.
🔹 Crop Recommendation System – Developed a Flask-based application that suggests the best crop based on soil and environmental data using machine learning.
🔹 Sentiment Analysis of Social Media Data – Conducted NLP-based analysis to uncover public opinions and trends using Python and sentiment analysis techniques.
🔹 Sustainable Development & Food Waste Reduction – Analyzed food waste data to support SDG 2 (Zero Hunger) and SDG 12 (Responsible Consumption & Production).
With a strong foundation in data cleaning, transformation, and automation, I am eager to apply my skills to real-world challenges. Always keen to learn and grow, I am looking for opportunities to contribute effectively in data-driven roles.
Steps for completing your project
After purchasing the project, send requirements so Khushi can start the project.
Delivery time starts when Khushi receives requirements from you.
Khushi works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding Client Requirements
Review the dataset and client's specific cleaning & transformation needs.
Data Cleaning & Preprocessing
Handle missing values, remove duplicates, correct formatting, and standardize data types.