You will get Python Automation/ data cleaning Pipeline: Transform Raw Data into Reports

Let a pro handle the details

Buy Data Entry & Cleaning services from Ashlesh, priced and ready to go.

Let a pro handle the details

Buy Data Entry & Cleaning services from Ashlesh, priced and ready to go.

Project details

I will automate your Excel data processing workflow using Python, transforming messy and unstructured Excel files into clean, standardized, analysis-ready data and professional business reports. I can handle data cleaning, duplicate removal, formatting, multiple sheets, data validation, calculations, merging, KPI generation, and automated charts. You will receive a reusable Python automation pipeline and a clean final report that reduces manual work and improves reporting accuracy.
Data Tool
Python
What's included
Service Tiers Starter
$20
Standard
$30
Advanced
$50
Delivery Time 3 days 5 days 7 days
Number of Revisions
335
Ashlesh B.Status: Offline

About Ashlesh

Ashlesh B.Status: Offline
Data Cleaning| Data analysis| Visualization| Machine Learning
Bengaluru, India - 6:20 am local time
PROFESSIONAL SUMMARY

Data and Analytics professional with 6+ years of experience in retail analytics, data science, and business insights. Expertise in
leveraging statistical modeling, forecasting, Time series and clustering techniques to drive operational efficiency and strategic
decision-making. Proven ability to collaborate cross-functionally, streamline operations, and enhance profitability using
advanced analytics.

Steps for completing your project

After purchasing the project, send requirements so Ashlesh can start the project.

Delivery time starts when Ashlesh receives requirements from you.

Ashlesh works on your project following the steps below.

Revisions may occur after the delivery date.

Data & Requirement Analysis

I will review your Excel files, understand the business requirements, identify data-quality issues, and map the required input-to-output workflow.

Data Cleaning & Standardization

I will clean and standardize the raw data by handling missing values, duplicates, inconsistent formats, incorrect data types, naming variations, and other data-quality issue

Review the work, release payment, and leave feedback to Ashlesh.