I will deliever deep eda and data wrangling in python


About this gig
Do you have raw data in CSV/Excel/Google Sheets and want to turn it into meaningful insights? I will help you clean, wrangle and analyze your dataset using Python so you can make data-driven decisions.
What I Offer:
- Data cleaning & preprocessing (missing values, outliers, formatting)
- Exploratory Data Analysis (EDA) to uncover patterns, correlations and trends
- Clear visualizations (distribution plots, correlation heatmaps, relationship plots) using Pandas, NumPy, Matplotlib and Seaborn
- If youre preparing for a machine-learning pipeline: structured and optimized data so your model accuracy improves
- Well-commented Python code + deliverables you can reuse
Why Choose Me?
- Experienced Python developer with expertise in data wrangling and visualization
- Clear communication in English & other languages as needed
- Fast delivery, high client satisfaction and tailored solutions for your dataset
What I need from you to get started:
- Your dataset (CSV, XLS/XLSX, Google Sheets link)
- Your goal: What you want to learn/extract? (classification, regression, insights, visualization)
- Any constraints or special needs (turnaround time, output format)
Message me now and well start turning your raw data into
Get to know Manzar Abbas
Customer satisfaction is my first priortiy
- FromPakistan
- Member sinceJun 2024
- Avg. response time1 hour
- Last delivery1 month
Languages
English, French, German, Arabic
FAQ
What type of data formats do you accept?
I accept datasets in CSV, Excel (XLS/XLSX), or TXT formats. You can also share Google Sheets links if needed.
What tools do you use for data cleaning and analysis?
I use Python libraries like Pandas, numpy for cleaning and wrangling, and Seaborn, Matplotlib for EDA and visualizations.
Will you provide graphs and visual reports?
Yes! I include clear and informative visualizations such as bar charts, histograms, boxplots, and correlation heatmaps
Can this improve the accuracy of my machine learning model?
Yes. Clean and well-structured data leads to better model performance. My preprocessing and EDA help boost model accuracy.

