You will get Data Cleaning, exploratory data analysis
Project details
You will get clean, well-organized datasets, detailed exploratory data analysis (EDA), and professional data visualizations that provide actionable insights for your business. With my expertise in Python, pandas, and Seaborn, I ensure that your data is transformed into meaningful information, making it easy to identify trends and patterns. Whether you're looking to clean raw data, explore relationships between variables, or create custom visualizations, I deliver high-quality work tailored to your unique business needs. I care deeply about data accuracy, and my approach is thorough, ensuring you get the insights you need to make data-driven decisions
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$30
|
Advanced
$45
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
About Tanish
Data Cleaning | Exploratory Data Analysis, Data Analysis
Delhi, India - 1:53 pm local time
Hi, I’m an aspiring data scientist with a strong focus on data cleaning, exploratory data analysis (EDA), and data visualization. My goal is to help businesses make sense of their data and extract valuable insights to support data-driven decision-making.
What I Offer:
Data Cleaning: Removing inconsistencies, filling missing values, and ensuring data is ready for analysis.
Exploratory Data Analysis (EDA): Identifying trends, patterns, and relationships through descriptive statistics and visualizations.
Data Visualization: Creating clear, insightful visuals using Seaborn, Matplotlib, and pandas to communicate key findings.
Tools I Work With:
Python: pandas, NumPy, Matplotlib, Seaborn
Data Wrangling: Regex, feature engineering
Visualization: Crafting engaging visual stories for presentations and reports
Steps for completing your project
After purchasing the project, send requirements so Tanish can start the project.
Delivery time starts when Tanish receives requirements from you.
Tanish works on your project following the steps below.
Revisions may occur after the delivery date.
You provide the required dataset and project objectives.
Data Cleaning:
I will clean the dataset by handling missing values, correcting data types, and removing inconsistencies.