Code & Report Analysis Needed
Budget: ₹600 – ₹1,500 INR
[URGENT] I have a working repository that combines statistical anomaly detection, model evaluation, and an LLM-based explanation pipeline. The code runs end-to-end and already produces a draft report, yet I still need a clear, defensible narrative of what happens under the hood so I can present the findings with confidence.
Your task is to walk through every stage—data preprocessing, model training and evaluation, and result interpretation—then translate that knowledge into plain-English documentation that justifies each decision made in the notebook / script and ties it back to the final report. I also want the explanation pipeline itself unpacked: why it produces the explanations it does, how reliable they are, and where potential blind spots may lie.
A short call or recorded walkthrough at the end would be helpful so I can ask follow-up questions.
Deliverables:
• Clean, commented source files
• Written summary linking code steps to report conclusions
• Suggestions for strengthening or extending the current explanation pipeline
I will share the repo and current report as soon as we agree on the scope and timeline.
Your task is to walk through every stage—data preprocessing, model training and evaluation, and result interpretation—then translate that knowledge into plain-English documentation that justifies each decision made in the notebook / script and ties it back to the final report. I also want the explanation pipeline itself unpacked: why it produces the explanations it does, how reliable they are, and where potential blind spots may lie.
A short call or recorded walkthrough at the end would be helpful so I can ask follow-up questions.
Deliverables:
• Clean, commented source files
• Written summary linking code steps to report conclusions
• Suggestions for strengthening or extending the current explanation pipeline
I will share the repo and current report as soon as we agree on the scope and timeline.