I will build a machine learning model to predict sales, churn, or any business outcome
About this Gig
Is your data sitting idle while competitors make smarter decisions?
I build custom Machine Learning models that turn your raw data into powerful predictions sales forecasting, customer churn, fraud detection, lead scoring, and more.
What you get:
Trained ML model on YOUR data
Data cleaning & preprocessing
Accuracy report with charts
SHAP explainability (why the model predicts what it predicts)
Results in Excel, CSV, or Streamlit dashboard
Plain English explanation zero tech jargon
Why trust me?
Globally Ranked #3 in a Kaggle ML Competition
Top 10 Globally at AI Agents Hackathon (LabLab.ai)
Active ML Researcher in Fair & Ethical AI
Tools: XGBoost, CatBoost, Scikit-learn, TensorFlow, PyTorch, SHAP, Pandas, Streamlit, Flask, Docker.
To get started, just send me:
1. Your dataset (Excel or CSV)
2. What you want to predict
3. Any business context
Not technical? No problem I explain everything in simple language.
Data messy? Cleaning is included in every package.
Message me before ordering let's make sure I'm the right fit.
Let's turn your data into decisions.
FAQ
Do you provide the model deployment as well?
Yes! Unlike standard gigs, I specialize in MLOps. I can provide your model wrapped in a FastAPI or Flask API and containerized with Docker for "plug-and-play" deployment.
Do I need to provide cleaned data?
No, I handle the entire data engineering process, including cleaning, preprocessing, and feature engineering from your raw datasets.
Will you help with API integration?
Yes, I provide full support for integrating the FastAPI endpoints into your existing applications and offer technical documentation.
How do you ensure model accuracy?
I use advanced techniques like cross-validation and hyperparameter tuning with XGBoost/CatBoost to achieve optimal performance.
