I will build ml models for forecasting and classification
DATA ANALYST
About this Gig
Need to predict sales, detect anomalies, classify data, or automate decisions? I will build end-to-end machine learning models tailored to your business problem using Python, Scikit-learn, TensorFlow, and PyTorch. What I deliver: Regression & forecasting models (sales, demand, prices) Classification models (fraud detection, churn, spam) Data preprocessing & feature engineering Model evaluation report (accuracy, precision, recall, F1) Clean Python code with comments Deployment-ready script or Streamlit app (Premium) My background: published ML research in Springer (98.9% accuracy on image classification), and built forecasting systems at Genpact that improved accuracy by 50%. Send me your dataset and goal I'll tell you what's possible and "Published ML researcher 98.9% accuracy on image classification (Springer IC3T 2022)".
FAQ
What if I don't have clean data?
I handle data cleaning and preprocessing as part of every package.
Do you have any proven ML results?
Yes — I published a deep learning research paper in Springer IC3T 2022 achieving 98.9% accuracy on a dataset of 88,000+ images. I bring the same rigour to client projects.

