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$
USD
I will build machine learning and ai models for predictive analytics and forecasting
Abhinav
About this gig
Build machine learning and AI models for predictive analytics and forecasting
Got a prediction problem you're not sure how to tackle? I can help you build a model that's clean, explainable, and actually useful in practice.
I've spent 7+ years building ML models across banking and fintech credit scorecards, churn models, risk classifiers, forecasting models, and more. I bring the same rigour to freelance projects, whether you're a startup trying to make sense of your data or an established business looking to add a predictive layer to your operations.
What I can build for you:
- Classification models churn, fraud detection, lead scoring, risk flagging
- Regression & forecasting sales forecasting, demand planning, loss estimation
- Scoring & ranking models customer scoring, lead prioritisation
- Ensemble models (XGBoost, Random Forest, etc.)
- End-to-end pipeline data prep, feature engineering, model training, evaluation
What you'll get:
- Clean, documented Python code
- Model performance summary with key metrics
- Strategic guidance on applying the model to your business
- Deployment cost breakdown (Premium)
- 30 to 90 minutes of consultation depending on your package
Tools: Python, scikit-learn, XGBoo
Get to know Abhinav
Abhinav
- FromIndia
- Member sinceSep 2025
- Avg. response time1 hour
Languages
English, Hindi
Data scientist and risk analytics professional with 7+ years across banking, fintech, and financial services. I've built credit scorecards, loss forecasting models, ML pipelines, A/B testing frameworks, and agentic workflows — in environments where the numbers actually matter.
Currently leading Credit Risk and Data Science at Corridor Platforms, working with credit unions and lenders. On the side, I take on freelance projects for businesses that need someone who can get into the data, build something useful, and explain it in plain English.
Python | SQL | PySpark | IIT Madras grad
FAQ
What kind of data do I need to provide?
A clean, structured dataset works best for the Basic package. For Standard and Premium I can work with rawer data and handle the preparation. If you're unsure about your data, just message me before ordering and we can figure it out together.
What if I don't know what model I need?
That's completely fine - most buyers don't. Share your problem and data, and I'll recommend the right approach as part of the initial assessment included in every package.
Can you help deploy the model after building it?
The Premium package includes deployment-ready code and a cost breakdown for running the model in production. Full deployment support can be discussed as a custom order.
Do you work with small datasets?
Yes, though very small datasets (under a few hundred rows) can limit model performance. I'll flag this upfront if it's likely to be an issue.
What tools and languages do you use?
Primarily Python. Scikit-learn, XGBoost, and pandas for modelling, SQL and PySpark for data work. All code is documented and handed over cleanly.
