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I will do data analysis, visualization, and predictive modeling using python
Healthcare Data Analyst , Python ML Developer, Bioinformatician
I am a Python Data Analyst and Machine Learning Developer with experience in healthcare analytics and predictive modeling using Python, Pandas, Scikit-learn, SQL, and data visualization libraries.
I h...
About this Gig
Are you looking for professional data analysis, visualization, or predictive modeling using Python?
I can help you transform raw data into meaningful insights using Python, machine learning, and statistical analysis techniques.
My services include:
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization & Charts
- Predictive Modeling & Machine Learning
- Classification & Regression Models
- Feature Engineering
- Model Evaluation (Accuracy, Precision, Recall, F1-Score, ROC-AUC)
- Statistical Analysis & Reporting
- Healthcare & Risk Analytics Projects
- Well-Documented Python Code
Tools & Libraries:
- Python
- Pandas
- NumPy
- Scikit-learn
- Statsmodels
- Matplotlib
- Seaborn
I have experience working on healthcare analytics, risk prediction, and machine learning projects involving structured datasets, preprocessing pipelines, logistic regression, Random Forest, Gradient Boosting, and statistical interpretation.
Why choose me?
- Accurate and organized work
- Clear communication
- Client-focused solutions
- Clean and readable code
- Timely delivery
Please contact me before placing an order so we can discuss your project requirements and choose the best package for your needs.
Programming language:
Python
•
R
•
Colab
•
Java
•
MLflow
Frameworks:
Scikit-learn
•
Google ML Kit
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
MLflow
•
Colab
•
RStudio
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What type of datasets do you work with?
I work with structured datasets such as CSV, Excel, SQL exports, and tabular datasets for analytics and Machine Learning Projects.
Do you provide visualizations and reports?
Yes. I provide charts, graphs, insights, model evaluation metrics, and well-structured reports to help clients understand the analysis clearly.
Can you build machine learning models?
Yes. I can develop classification and regression models using techniques such as Logistic Regression, Random Forest, Gradient Boosting, and other machine learning methods.
Which tools and technologies do you use?
I mainly use Python, Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn for data analysis, visualization, and predictive modeling.
Can you help with healthcare or research datasets?
Yes
