Data Cleaning, Analysis & Visualization in Python by Shahid AliData Cleaning, Analysis & Visualization in Python by Shahid Ali
Data Cleaning, Analysis & Visualization in PythonShahid Ali
Cover image for Data Cleaning, Analysis & Visualization in Python
Messy data turned into clean datasets, clear charts and a plain-language report.
I clean your CSV or Excel data (duplicates, missing values, inconsistent formats), then explore it to answer your business questions with clear charts and a short report. Customer segmentation with K-Means is included where useful. You get the clean data, the report and the notebook, so the process can be repeated.
What you get: cleaned dataset, report (PDF or slides) with charts, Jupyter notebook with all code, summary of key findings.
What I need from you: your data files and 2–5 business questions.
Tech: Python, pandas, NumPy, Matplotlib, Seaborn, Plotly, scikit-learn.
Not included: manual data entry, paid BI tool licences, live database connections (quoted separately).
Packages (the price shown is Basic; message me for Standard or Premium):
Basic, $150: one dataset, 5 charts, 3 days, 1 revision.
Standard, $400: up to 3 files, 15 charts, segmentation, 5 days, 2 revisions.
Premium, $800: several datasets, interactive dashboard, 8 days, 3 revisions.
Share your questions and a sample of the data, and I'll confirm what's possible before you pay.
Starting at$150
Duration3 days
Tags
Data Cleaning
pandas
Python
Data Analyst
Data Visualizer
Exploratory Data Analysis
Service provided by
Shahid Ali Verona, Italy
Data Cleaning, Analysis & Visualization in PythonShahid Ali
Starting at$150
Duration3 days
Tags
Data Cleaning
pandas
Python
Data Analyst
Data Visualizer
Exploratory Data Analysis
Cover image for Data Cleaning, Analysis & Visualization in Python
Messy data turned into clean datasets, clear charts and a plain-language report.
I clean your CSV or Excel data (duplicates, missing values, inconsistent formats), then explore it to answer your business questions with clear charts and a short report. Customer segmentation with K-Means is included where useful. You get the clean data, the report and the notebook, so the process can be repeated.
What you get: cleaned dataset, report (PDF or slides) with charts, Jupyter notebook with all code, summary of key findings.
What I need from you: your data files and 2–5 business questions.
Tech: Python, pandas, NumPy, Matplotlib, Seaborn, Plotly, scikit-learn.
Not included: manual data entry, paid BI tool licences, live database connections (quoted separately).
Packages (the price shown is Basic; message me for Standard or Premium):
Basic, $150: one dataset, 5 charts, 3 days, 1 revision.
Standard, $400: up to 3 files, 15 charts, segmentation, 5 days, 2 revisions.
Premium, $800: several datasets, interactive dashboard, 8 days, 3 revisions.
Share your questions and a sample of the data, and I'll confirm what's possible before you pay.
$150