I will build and evaluate ml models with clean, documented code
About this Gig
Struggling with a machine learning assignment, mini-project, or a model that just won't perform? I'm an M.Tech CS graduate and an assistant professor specializing in Machine Learning and Reinforcement Learning, with hands-on experience building research-grade ML systems.
I can help you with:
- Exploratory Data Analysis (EDA) and data cleaning
- Model building & evaluation (classification, regression, clustering)
- Debugging existing ML code (Python, scikit-learn, PyTorch, TensorFlow)
- Explaining ML concepts clearly, step by step
- Jupyter notebook documentation and reporting
- Handling imbalanced datasets (SMOTE, class weighting), AUC-ROC/F1 evaluation
Whether it's a college assignment, a portfolio project, or a real dataset you're stuck on, I'll write clean, well-commented code and explain the "why," not just deliver a black box.
Fast communication, honest timelines, and documentation you can actually learn from.
FAQ
Can you work with my existing code or notebook?
Yes — send me your current code or Jupyter notebook, and I'll debug, extend, or optimize it rather than starting from scratch, saving you time and cost.
Do you handle deep learning or NLP projects too?
Yes, depending on scope. Message me with your dataset and requirements before ordering so I can confirm turnaround and the right package for your project.
Is this suitable for academic submission?
I deliver 100% original work with clear explanations so you understand every part of it and can present or discuss it confidently. I don't do ghostwriting for live exams or proctored tests.
What do you need from me to get started?
Ideally, your dataset (or a description of it), the specific problem you're solving, and any constraints (libraries, deadline, output format). The more detail upfront, the faster and more accurate the delivery.

