Browse categories
Explore
Fiverr Pro
English
$
USD
I will do r programming, python data analysis, machine learning and rstudio projects
About this Gig
Are you looking for a professional R programmer and Python data scientist?
I have 2+ years of experience helping students and businesses with data analysis,
machine learning, and statistical projects.
WHAT I OFFER:
- Data Cleaning & Preprocessing (handling missing values, outliers)
- Exploratory Data Analysis (EDA) with ggplot2, Matplotlib, Seaborn
- Statistical Analysis & Hypothesis Testing (t-test, ANOVA, chi-square)
- Machine Learning Models (Random Forest, XGBoost, KNN, SVM, Regression)
- Predictive Modeling & Forecasting (time series, ARIMA)
- Python scripting (Pandas, NumPy, Scikit-learn, TensorFlow)
- R programming & RStudio projects
- Jupyter Notebook & Excel data tasks
- SPSS, SAS, WEKA analysis
️ TOOLS I USE:
Python | R | RStudio | Jupyter Notebook | SPSS | SAS | Excel | Tableau | Power BI and More
⭐ WHY CHOOSE ME?
Fast delivery most projects in 24 hours
Clean, well-commented code
Available 24/7 reply within 1 hour
Free revisions until you're 100% satisfied
NOTE: Please message me before placing an order so I can ensure I'm the right fit.
Thank you!
Haider
My Portfolio
FAQ
What types of data analysis can you do?
I provide a wide range of data science services using R and Python. This includes Exploratory Data Analysis (EDA), data cleaning, statistical analysis, hypothesis testing (ANOVA, t-tests), regression analysis, and predictive modeling. I also build advanced machine learning models (Random Forest, XGB
Do you help with student or academic projects?
Yes, I regularly assist with academic data tasks, including r programming homework help, data science assignment help, university research, and thesis statistical analysis. All work is delivered with clean, well-commented code to ensure you fully understand the methodology and results.
Which Python libraries and R packages do you use?
For Python data analysis projects, I primarily use Pandas, NumPy, Scikit-learn, and TensorFlow. For RStudio projects, I specialize in tidyverse, ggplot2, caret, and shiny for interactive dashboards. I choose the optimal toolkit based on your specific project requirements.
How fast can you deliver my project?
Most standard data analysis scripts and small R programming projects can be delivered within 24 hours. For complex machine learning models, time series forecasting, or extensive data cleaning, it may take 2 to 3 days. If you are on a tight deadline, please message me for express delivery options.
Can you work with my specific dataset format?
Absolutely. I can work with almost any data format, including CSV, Excel files, SPSS (.sav), JSON, SAS datasets, text files, and direct SQL database connections. Just upload your raw data in our chat, and I will handle the preprocessing.
Do you provide code explanations and documentation?
Yes! I pride myself on delivering clean, well-commented code. Whether it is a Jupyter Notebook or an R script, I include clear inline comments explaining what each function does. If you need a formal report, I can also provide an RMarkdown or PDF summary of the insights.
What happens if I am not satisfied with the results?
Your satisfaction is my top priority. I offer free revisions to tweak the code, update visualizations, or adjust model parameters until you are 100% happy with the final deliverable. Please contact me before ordering so we can align perfectly on the project scope.
