I will do python data analysis and machine learning models
Data Scientist and Quant Analyst
About this Gig
Looking for rigorous, production-grade Data Science and Machine Learning solutions delivered on time?
I am a Senior Data Scientist with a Masters degree in Applied Statistics and a background in financial risk modeling. I build clean, explainable, and mathematically robust quantitative solutions tailored to your project.
What I offer:
Machine Learning: Classification, Regression, Clustering, and XGBoost pipelines.
Statistical Analysis: Hypothesis testing, time-series forecasting, and econometric modeling.
Data Preprocessing: Feature engineering, cleaning, EDA, and anomaly detection (Pandas, DuckDB, SQL).
Interactive Dashboards: Responsive web applications using Streamlit and Dash.
Model Auditing: Metric evaluation (ROC-AUC, F1-score) and performance drift monitoring.
Tech Stack:
Python | Scikit-learn | XGBoost | Statsmodels | DuckDB | Pandas | NumPy | Streamlit | Dash | SQL
Deliverables:
Clean, fully commented Python code (.ipynb or .py scripts).
Clear executive summaries and result interpretation.
Fast turnaround and reproducible results.
Please send me a message before ordering so we can discuss your dataset and goals!
Programming language:
Python
•
R
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Amazon SageMaker
Technology:
Python
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R
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TensorFlow
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OpenCV
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Jupyter Notebook
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Excel

