I will help you conduct exploratory data analysis using Python and write report
- 4.4
- (5)
Project Details
Why Hire Me?
Leveraging my extensive Python skills and analytical expertise, I guide you through the nuances of EDA, ensuring you not only grasp the technical aspects but also understand how to interpret and report your findings effectively, making data-driven decisions easier.
Key Strengths:
-
Advanced use of
pandas
,seaborn
,matplotlib
, andnumpy
-
Strong focus on clean, reproducible data analysis workflows
-
Plagiarism-free, structured reports for academic and professional use
-
Capable of handling data from any sector or complexity level
-
Clear documentation and visual explanation of patterns and trends
What I Need to Start Your Work
To begin working on your Python-based EDA project, I need the following:
-
Project Details
-
A summary of your project’s purpose and how EDA will help achieve its objectives
-
Specific data questions or relationships you'd like explored
-
-
Data and Description
-
Dataset(s) in a Python-friendly format (CSV, Excel, JSON)
-
Background on the variables, their types, and any preprocessing done
-
-
Exact Requirements
-
Whether you're focusing on outliers, distributions, correlations, etc.
-
Any tools or packages you prefer (e.g.,
pandas
,matplotlib
,seaborn
)
-
-
Reporting Preferences
-
Preferred structure, detail level, and style guide (APA, Harvard, IEEE)
-
Intended use of the report: academic, business, or internal
-
-
Communication Preferences
-
Your preferred channels (email, call, chat) and update frequency
-
Any deadlines or timeline expectations for project delivery
-
Portfolio

Uncovering Product Return Drivers Using Python EDA for a U.S. Fashion Retailer
Used Python-based exploratory data analysis to identify product-level, customer-level, and fulfillment-related factors driving return rates in an online fashion retail business. Insights helped reduce return-related losses and informed inventory, sizing, and product page strategy.

Python-Based EDA of Last-Mile Delivery Delays for a U.S. Logistics Company
Performed exploratory data analysis using Python to uncover route-level delivery delay patterns for a regional last-mile logistics firm in the U.S. Findings helped optimize driver dispatching, reduce customer complaints, and inform performance-based contracts.

Exploratory Data Analysis of Patient Appointment No-Shows in a U.S. Multi-Clinic Healthcare Network
Conducted Python-based exploratory data analysis on patient scheduling data to uncover trends and predictors of appointment no-shows across clinics. Helped reduce no-show rates through optimized time slot allocation and automated reminder strategies.
Process

Customer Reviews
5 reviews for this Gig ★★★★☆ 4.4
i needed a harvard style report for EDA and he nailed it visuals were sharp and the insights actually helped in our internal marketing review
bar charts were too colorful but analysis was deep and he explained skewness and outliers clearly through histograms and box plots
dataset was messy but he handled cleaning very well and explained each step in code in colab made it easier for me to reuse it later
i liked the heatmaps and scatter plots he added but felt pie chart was unnecessary still overall report was helpful and got appreciation from my prof
he found patterns i completely missed in my ecommerce data visualizations looked clean and APA style report helped me submit my paper on time