You will get Data Analysis & EDA Report with Visuals Using Python etc
Project details
I will deliver a clean, insightful data analysis report using Python, with powerful visualizations, summary statistics, and pattern discovery that help you make data-driven decisions confidently. Whether it's business data, customer trends, or model-ready datasets, you'll receive a professionally formatted, easy-to-interpret report.
You Will Get:
Python-based EDA report (PDF/Notebook format)
Summary statistics & insights
Data cleaning & preprocessing
Visualizations (matplotlib, seaborn, or Plotly)
Custom recommendations based on data trends
You Will Get:
Python-based EDA report (PDF/Notebook format)
Summary statistics & insights
Data cleaning & preprocessing
Visualizations (matplotlib, seaborn, or Plotly)
Custom recommendations based on data trends
Machine Learning Tools
Accord.NET Framework, Apache Spark MLlib, Azure Machine Learning, BigDL, ChatGPT, Databricks Platform, Databricks MLflow, Deeplearning4j, GitHub Copilot, Google Sheets, H2O, MATLAB, Microsoft Excel, Microsoft Power BI, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, SAS, scikit-learn, Scrapy, SQL, TableauWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 3 days
- Number of Revisions Unlimited
- Number of Model Variations 3
- Number of Scenarios 3
- Number of Graphs/Charts 10
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Abbas
Data Analyst, Python, Machine Learning, EDA, Big Data, and Statistical
Opole, Poland - 4:23 pm local time
I bring a structured and strategic approach to data analysis, built upon rigorous training from industry-recognized programs. My capabilities span exploratory data analysis (EDA), unsupervised learning, statistical modeling, and big data processing. Whether you're trying to cluster user behavior, visualize KPIs, or extract patterns from large-scale data sets, I can assist with the full analytical lifecycle—from raw data to business insight.
Using tools such as Python (pandas, matplotlib, seaborn), and platforms supporting big data like Hadoop and Spark, I’ve examined large data sets to uncover actionable insights. I'm equally comfortable explaining complex models to non-technical stakeholders and working directly with technical teams to deploy ML strategies. My background in AI for both IT and non-IT audiences means I can adapt my approach depending on your team’s level of technical expertise.
Clients often come to me when they need structured, efficient data analysis that not only identifies trends but drives measurable outcomes. Whether it's reducing churn, segmenting your audience, or preparing data for machine learning, I contribute clean, accurate, and insightful outputs tailored to your goals.
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SKILLS:
Exploratory Data Analysis (EDA)
Statistical Modeling & Inference
Unsupervised Machine Learning (Clustering, PCA)
Data Visualization (matplotlib, seaborn)
Big Data Analytics (Hadoop, Spark)
Business Intelligence Reporting
Feature Engineering
AI Concepts for Non-Technical Teams
Python for Data Science
Regression Analysis
Hypothesis Testing
Data Segmentation
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TOOLS:
Python
pandas
numpy
matplotlib
seaborn
Jupyter Notebook
Google Colab
SciPy
statsmodels
R
Excel (Advanced features)
Power BI
Tableau
Looker Studio
scikit-learn
TensorFlow
Plotly
Apache Hadoop
Hive
HDFS
Apache Spark (PySpark)
Google BigQuery
AWS Athena
Category Encoders
Featuretools
PowerPoint
Canva
Miro
Notion
Google Docs
Lumen5
Visme
VS Code
PyCharm
Anaconda
Git
GitHub
JASP
SPSS
Let’s discuss how we can turn your raw data into strategy. I’m open to both short-term consultations and long-term analytics collaborations.
Steps for completing your project
After purchasing the project, send requirements so Abbas can start the project.
Delivery time starts when Abbas receives requirements from you.
Abbas works on your project following the steps below.
Revisions may occur after the delivery date.
three days
i will complete my all tasks with in three days