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I will build and evaluate python ml projects for predictive modeling
Data Scientist
Hello! I'm a passionate Machine Learning and Data Science professional, holding a Bachelor’s degree in Computer Science and IBM-certified in Data Science. I bring a solid foundation in Python, Data Cl...
About this Gig
Transform raw data into actionable insights using advanced Python-based Data Science and Machine Learning techniques.
Whether you're a startup, academic, or enterprise, I deliver:
- Data Cleaning and Preprocessing remove duplicates, handle missing values, and format data for ML
- Exploratory Data Analysis (EDA) visual summaries, correlation analysis, and feature insights
- Feature Engineering and Selection create predictive features and reduce dimensionality
- Machine Learning Models regression, classification, clustering, and time-series forecasting
- Model Evaluation and Optimization train/test splits, cross-validation, hyperparameter tuning, ROC curve, accuracy, and confusion matrix
- Predictive Analytics forward-looking insights and business forecasting
- Custom Python Scripts or Jupyter Notebooks, with the option for production-ready code and reports
Tools: Python (Pandas, NumPy), scikit-learn, Matplotlib, Seaborn, XGBoost, Jupyter Notebook
Deliverables include:
Cleaned dataset and processed feature set
Fully documented Jupyter Notebook or .py script
Visualized results and evaluation metrics
Optional summary report (.pdf or .docx) with recommendations
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
APIs:
IBM Watson Visual Recognition
Tools:
Jupyter Notebook
•
OpenCV
•
Excel
•
Colab
My Portfolio
FAQ
What do you need to get started with my project?
I need your dataset (CSV, Excel, or SQL), a clear problem statement or goal (e.g., prediction, classification, analysis), and any specific requirements (e.g., preferred algorithms or metrics).
Which machine learning algorithms do you use?
I use a variety of ML algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, KNN, XGBoost, and K-Means, Ensemble Learning depending on your project needs.
Can you help with academic or research-based data science projects?
Yes! I provide support for academic and research projects involving data analytics, ML models and visualization — fully explained and documented
Do you provide code and documentation?
Yes, I deliver clean Python code (in Jupyter Notebook or .py format) and optional documentation or reports explaining the steps, analysis, and results However this depends on what package you choose
