Sfoglia categorie
Esplora
Fiverr Pro
Italiano
$
USD
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I will build and deploy custom ml models with python and live streamlit demo
Kazakistan
Parlo Inglese
ML Engineer Python Data Analysis and Predictive Modeling
ML Engineer specializing in Python automation, FastAPI backends, and NLP pipelines. I build end-to-end solutions: from raw data to trained models, REST APIs, and live dashboards your team can use with...
Informazioni su questo servizio
I build custom ML models, data analysis pipelines, and live Streamlit dashboards in Python end-to-end, production-ready, with clean code and GitHub repo.
What I deliver:
Classification & regression models (XGBoost, scikit-learn, RandomForest)
Customer churn prediction and risk scoring systems
Time-series forecasting (Prophet, LSTM)
Data analysis pipelines (pandas, NumPy, visualization)
Live Streamlit dashboard for your stakeholders
Stack: Python · scikit-learn · XGBoost · pandas · Streamlit · FastAPI · Matplotlib
Every project includes:
Trained model with accuracy/precision/recall metrics
Live Streamlit demo or FastAPI endpoint
GitHub repo with README and notebooks
30-day support after delivery
Need a churn predictor, demand forecaster, or data dashboard? I deliver working ML solutions not just notebooks.
Message me to discuss your dataset and goals!
Linguaggio di programmazione:
Python
•
SQL
Strumenti:
Quaderno jupyter
•
tensorflow
•
Excel
•
MLflow
Tecnologia:
Python
•
tensorflow
•
PyTorch
•
keras
•
scikit-learn
•
Pandas
Il mio portfolio
FAQ
What information do you need from me to get started?
Please share your dataset (CSV, Excel, or database), a description of your goal (e.g. predict churn, classify images, analyze trends), and any specific requirements. The more context you provide, the better the results!
How fast can you deliver a working ML model?
For a standard classification or regression task: 2-4 days. I use LLM-assisted development to ship working prototypes fast. My live demos (ChurnGuard, SentimentScope, EntityRadar) were each built in under 3 days.
